As the 2020 global lockdown became a universal strategy to control the COVID-19 pandemic, social distancing triggered a massive reliance on online and cyberspace alternatives and switched the world to the digital economy. Despite their effectiveness for remote work and online interactions, cyberspace alternatives ignited several Cybersecurity challenges. Malicious hackers capitalized on global anxiety and launched cyberattacks against unsuspecting victims. Internet fraudsters exploited human and system vulnerabilities and impacted data integrity, privacy, and digital behaviour. Cybersecurity in the COVID-19 Pandemic demystifies Cybersecurity concepts using real-world cybercrime incidents from the pandemic to illustrate how threat actors perpetrated computer fraud against valuable information assets particularly healthcare, financial, commercial, travel, academic, and social networking data. The book simplifies the socio-technical aspects of Cybersecurity and draws valuable lessons from the impacts COVID-19 cyberattacks exerted on computer networks, online portals, and databases. The book also predicts the fusion of Cybersecurity into Artificial Intelligence and Big Data Analytics, the two emerging domains that will potentially dominate and redefine post-pandemic Cybersecurity research and innovations between 2021 and 2025. The book's primary audience is individual and corporate cyberspace consumers across all professions intending to update their Cybersecurity knowledge for detecting, preventing, responding to, and recovering from computer crimes. Cybersecurity in the COVID-19 Pandemic is ideal for information officers, data managers, business and risk administrators, technology scholars, Cybersecurity experts and researchers, and information technology practitioners. Readers will draw lessons for protecting their digital assets from email phishing fraud, social engineering scams, malware campaigns, and website hijacks.

With the advent of the IT revolution, the volume of data produced has increased exponentially and is still showing an upward trend. This data may be abundant and enormous, but it's a precious resource and should be managed properly. Cloud technology plays an important role in data management. Storing data in the cloud rather than on local storage has many benefits, but apart from these benefits, there are privacy concerns in storing sensitive data over third-party servers. These concerns can be addressed by storing data in an encrypted form; however, while encryption solves the problem of privacy, it engenders other serious issues, including the infeasibility of the fundamental search operation and a reduction in flexibility when sharing data with other users, amongst others. The concept of searchable encryption addresses these issues. This book provides every necessary detail required to develop a secure, searchable encryption scheme using both symmetric and asymmetric cryptographic primitives along with the appropriate security models to ensure the minimum security requirements for real-world applications.

The complexity and severity of the Distributed Denial of Service (DDoS) attacks are increasing day-by-day. The Internet has a highly inconsistent structure in terms of resource distribution. Numerous technical solutions are available, but those involving economic aspects have not been given much consideration. The book, DDoS Attacks - Classification, Attacks, Challenges, and Countermeasures, provides an overview of both types of defensive solutions proposed so far, exploring different dimensions that would mitigate the DDoS effectively and show the implications associated with them. Features: Covers topics that describe taxonomies of the DDoS attacks in detail, recent trends and classification of defensive mechanisms on the basis of deployment location, the types of defensive action, and the solutions offering economic incentives. Introduces chapters discussing the various types of DDoS attack associated with different layers of security, an attacker's motivations, and the importance of incentives and liabilities in any defensive solution. Illustrates the role of fair resource-allocation schemes, separate payment mechanisms for attackers and legitimate users, negotiation models on cost and types of resources, and risk assessments and transfer mechanisms. DDoS Attacks - Classification, Attacks, Challenges, and Countermeasures is designed for the readers who have an interest in the cybersecurity domain, including students and researchers who are exploring different dimensions associated with the DDoS attack, developers and security professionals who are focusing on developing defensive schemes and applications for detecting or mitigating the DDoS attacks, and faculty members across different universities.

This book examines the FinTech revolution from a data privacy perspective. It analyzes key players on the FinTech market and the developments in various market segments. Particular attention is paid to an empirical analysis of the privacy statements of 505 German FinTech firms and how they were adapted after the General Data Protection Regulation (GDPR) entered into effect in May 2018. The analysis also includes 38 expert interviews with relevant stakeholders from supervisory and regulatory authorities, the financial and FinTech industry, leading consulting firms and consumer protection agencies. By adopting this approach, the book identifies key regulatory needs, offers a valuable asset for practitioners and academics alike, and shares intriguing insights for lawyers, economists and everyone interested in FinTech and data privacy.

Smart healthcare systems, made up of advanced wearable devices, internet of things (IoT) technologies and mobile internet connectivity, allow significant medical information to be easily and regularly transmitted over public networks. Personal patient information and clinical records are stored on hospitals and healthcare centres and can be accessed remotely by healthcare workers. Due to the widespread increase in the sheer volume of medical data being collected and created all the time, it has never been more important to ensure that such information is collected, stored and processed in a reliable and secure manner. This edited book covers the recent trends in the field of medical information processing, including prediction of complications using machine learning and trends in visualization and image analysis. Further chapters focus on information security and privacy solutions for smart healthcare applications, including encryption of medical information, privacy in smart IoT environments, medical image watermarking and secure communication systems. Medical Information Processing and Security: Techniques and applications can be used as a reference book for practicing engineers, researchers and scientists. It will also be useful for senior undergraduate and graduate students, and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art security solutions for smart healthcare applications.

Trust and Records in an Open Digital Environment explores issues that arise when digital records are entrusted to the cloud and will help professionals to make informed choices in the context of a rapidly changing digital economy. Showing that records need to ensure public trust, especially in the era of alternative truths, this volume argues that reliable resources, which are openly accessible from governmental institutions, e-services, archival institutions, digital repositories, and cloud-based digital archives, are the key to an open digital environment. The book also demonstrates that current established practices need to be reviewed and amended to include the networked nature of the cloud-based records, to investigate the role of new players, like cloud service providers (CSP), and assess the potential for implementing new, disruptive technologies like blockchain. Stancic and the contributors address these challenges by taking three themes - state, citizens, and documentary form - and discussing their interaction in the context of open government, open access, recordkeeping, and digital preservation. Exploring what is needed to enable the establishment of an open digital environment, Trust and Records in an Open Digital Environment should be essential reading for data, information, document, and records management professionals. It will also be a key text for archivists, librarians, professors, and students working in the information sciences and other related fields.

Trust and Records in an Open Digital Environment explores issues that arise when digital records are entrusted to the cloud and will help professionals to make informed choices in the context of a rapidly changing digital economy. Showing that records need to ensure public trust, especially in the era of alternative truths, this volume argues that reliable resources, which are openly accessible from governmental institutions, e-services, archival institutions, digital repositories, and cloud-based digital archives, are the key to an open digital environment. The book also demonstrates that current established practices need to be reviewed and amended to include the networked nature of the cloud-based records, to investigate the role of new players, like cloud service providers (CSP), and assess the potential for implementing new, disruptive technologies like blockchain. Stancic and the contributors address these challenges by taking three themes - state, citizens, and documentary form - and discussing their interaction in the context of open government, open access, recordkeeping, and digital preservation. Exploring what is needed to enable the establishment of an open digital environment, Trust and Records in an Open Digital Environment should be essential reading for data, information, document, and records management professionals. It will also be a key text for archivists, librarians, professors, and students working in the information sciences and other related fields.

IoT is empowered by various technologies used to detect, gather, store, act, process, transmit, oversee, and examine information. The combination of emergent technologies for information processing and distributed security, such as Cloud computing, Artificial intelligence, and Blockchain, brings new challenges in addressing distributed security methods that form the foundation of improved and eventually entirely new products and services. As systems interact with each other, it is essential to have an agreed interoperability standard, which is safe and valid. This book aims at providing an introduction by illustrating state-of-the-art security challenges and threats in IoT and the latest developments in IoT with Cloud, AI, and Blockchain security challenges. Various application case studies from domains such as science, engineering, and healthcare are introduced, along with their architecture and how they leverage various technologies Cloud, AI, and Blockchain. This book provides a comprehensive guide to researchers and students to design IoT integrated AI, Cloud, and Blockchain projects and to have an overview of the next generation challenges that may arise in the coming years.

This book offers an analysis of privacy impacts resulting from and reinforced by technology and discusses fundamental risks and challenges of protecting privacy in the digital age. Privacy is among the most endangered "species" in our networked society: personal information is processed for various purposes beyond our control. Ultimately, this affects the natural interplay between privacy, personal identity and identification. This book investigates that interplay from a systemic, socio-technical perspective by combining research from the social and computer sciences. It sheds light on the basic functions of privacy, their relation to identity, and how they alter with digital identification practices. The analysis reveals a general privacy control dilemma of (digital) identification shaped by several interrelated socio-political, economic and technical factors. Uncontrolled increases in the identification modalities inherent to digital technology reinforce this dilemma and benefit surveillance practices, thereby complicating the detection of privacy risks and the creation of appropriate safeguards. Easing this problem requires a novel approach to privacy impact assessment (PIA), and this book proposes an alternative PIA framework which, at its core, comprises a basic typology of (personally and technically) identifiable information. This approach contributes to the theoretical and practical understanding of privacy impacts and thus, to the development of more effective protection standards. This book will be of much interest to students and scholars of critical security studies, surveillance studies, computer and information science, science and technology studies, and politics.

This book focuses on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It includes contributions that discuss the security and privacy issues as well as the opportunities and applications that are tightly linked to sensitive infrastructures and strategic services. This book addresses the complete functional framework and workflow in IoT-enabled RFID systems and explores basic and high-level concepts. It is based on the latest technologies and covers the major challenges, issues, and advances in the field. It presents data acquisition and case studies related to data-intensive technologies in RFID-based IoT and includes WSN-based systems and their security. It can serve as a manual for those in the industry while also helping beginners to understand both the basic and advanced aspects of IoT-based RFID-related issues. This book can be a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and find solutions that have been adopted in the fields of IoT and analytics.

The growth of data-collecting goods and services, such as ehealth and mhealth apps, smart watches, mobile fitness and dieting apps, electronic skin and ingestible tech, combined with recent technological developments such as increased capacity of data storage, artificial intelligence and smart algorithms, has spawned a big data revolution that has reshaped how we understand and approach health data. Recently the COVID-19 pandemic has foregrounded a variety of data privacy issues. The collection, storage, sharing and analysis of health- related data raises major legal and ethical questions relating to privacy, data protection, profiling, discrimination, surveillance, personal autonomy and dignity. This book examines health privacy questions in light of the General Data Protection Regulation (GDPR) and the general data privacy legal framework of the European Union (EU). The GDPR is a complex and evolving body of law that aims to deal with several technological and societal health data privacy problems, while safeguarding public health interests and addressing its internal gaps and uncertainties. The book answers a diverse range of questions including: What role can the GDPR play in regulating health surveillance and big (health) data analytics? Can it catch up with internet-age developments? Are the solutions to the challenges posed by big health data to be found in the law? Does the GDPR provide adequate tools and mechanisms to ensure public health objectives and the effective protection of privacy? How does the GDPR deal with data that concern children's health and academic research? By analysing a number of diverse questions concerning big health data under the GDPR from various perspectives, this book will appeal to those interested in privacy, data protection, big data, health sciences, information technology, the GDPR, EU and human rights law.

Justice apps - mobile and web-based programmes that can assist individuals with legal tasks - are being produced, improved, and accessed at an unprecedented rate. These technologies have the potential to reshape the justice system, improve access to justice, and demystify legal institutions. Using artificial intelligence techniques, apps can even facilitate the resolution of common legal disputes. However, these opportunities must be assessed in light of the many challenges associated with app use in the justice sector. These include the digital divide and other accessibility issues; the ethical challenges raised by the dehumanisation of legal processes; and various privacy, security, and confidentiality risks. Surveying the landscape of this emergent industry, this book explores the objectives, opportunities, and challenges presented by apps across all areas of the justice sector. Detailed consideration is also given to the use of justice apps in specific legal contexts, including the family law and criminal law sectors. The first book to engage with justice apps, this book will appeal to a wide range of legal scholars, students, practitioners, and policy-makers.

This book examines the UK's response to terrorist communication. Its principle question asks, has individual privacy and collective security been successfully managed and balanced? The author begins by assessing several technologically-based problems facing British law enforcement agencies, including use of the Internet; the existence of 'darknet'; untraceable Internet telephone calls and messages; smart encrypted device direct messaging applications; and commercially available encryption software. These problems are then related to the traceability and typecasting of potential terrorists, showing that law enforcement agencies are searching for needles in the ever-expanding haystacks. To this end, the book examines the bulk powers of digital surveillance introduced by the Investigatory Powers Act 2016. The book then moves on to assess whether these new powers and the new legislative safeguards introduced are compatible with international human rights standards. The author creates a 'digital rights criterion' from which to challenge the bulk surveillance powers against human rights norms. Lord Carlile of Berriew CBE QC in recommending this book notes this particular legal advancement, commenting that rightly so the author concludes the UK has fairly balanced individual privacy with collective security. The book further analyses the potential impact on intelligence exchange between the EU and the UK, following Brexit. Using the US as a case study, the book shows that UK laws must remain within the ambit of EU law and the Court of Justice of the European Union's (CJEU's) jurisprudence, to maintain the effectiveness of the exchange. It addresses the topics with regard to terrorism and counterterrorism methods and will be of interest to researchers, academics, professionals, and students researching counterterrorism and digital electronic communications, international human rights, data protection, and international intelligence exchange.

A thorough update to a classic in the field of privacy and big data. We have a global privacy problem. The average person provides more information about themselves to more outsiders than any time in history. Corporations, governments and even our neighbors can know where we are at times, can quickly learn our preferences and priorities and see who we meet. The past decade has brought deep changes in the collection of our private information, the regulation of that collection, and in people's sensitivity to loss of privacy. The nascent privacy-threatening technology trends of a decade ago have blossomed into relentless data-capturing systems that police and companies have come to rely on. To address the expansion of personal data capture, entire data regulatory regimes have arisen throughout the world, with new regulations added each year. People are more concerned, regulators are more aggressive, yet data collection continues to increase with consequences around the world. Social media use has fragmented in the past five years, spreading personal information over dozens of platforms. Even most of our new televisions have started collecting second-by-second information about our households recently, and some of those televisions can recognize the individuals watching and the devices they carry. Amazon just activated a new worldwide network using bandwidth from personal wifi of Echo devices and Ring security systems. The beat of new intrusions never seems to end. These data trends are relentless, and yet response to the pandemic accelerated them. Rapid development of "contactless everything" became the norm. Contact tracing apps became acceptable. QR codes for everything from menus to contact information were created quickly. Businesses are faced with hybrid in office and remote workforces. More people are dependent on online and mobile technologies for food, medicine, and even human connection. And each of these contacts can be captured somewhere and logged in a file for marketing or surveillance. People want to keep their lives private, but they don't know how. The second edition of Privacy in the Age of Big Data addresses the significant advances in data-driven technology, their intrusion deeper in our lives, the limits on data collection newly required by governments in North America and Europe, and the new security challenges of world rife with ransomware and hacking. This thoroughly updated edition demonstrates personal privacy vulnerabilities and shows ways to live a safer, more private life. Other privacy books tend to focus deeply on the evils of large tech companies or more academic and technical concerns. But Privacy in the Age of Big Data, second edition, helps regular people understand the privacy threats and vulnerabilities in their daily lives and will provide solutions for maintaining better privacy while enjoying a modern life. Unlike other books, this one shows what you can do to make a difference to understand your current digital footprint and what you need to do to claw back your privacy and secure it in the future. While PRIVACY IN THE AGE OF BIG DATA will have cross-sectional appeal to many demographics, working adults 25-60 and CEOs and Boards of businesses are the primary demographic--young enough to know we need to do something to protect privacy and old enough to remember what happens when we haven't in the past. With down-to-earth prose and examples pulled from daily life, the writing style will attract buyers of all education levels.

Web applications occupy a large space within the IT infrastructure of a business or a corporation. They simply just don't touch a front end or a back end; today's web apps impact just about every corner of it. Today's web apps have become complex, which has made them a prime target for sophisticated cyberattacks. As a result, web apps must be literally tested from the inside and out in terms of security before they can be deployed and launched to the public for business transactions to occur. The primary objective of this book is to address those specific areas that require testing before a web app can be considered to be completely secure. The book specifically examines five key areas: Network security: This encompasses the various network components that are involved in order for the end user to access the particular web app from the server where it is stored at to where it is being transmitted to, whether it is a physical computer itself or a wireless device (such as a smartphone). Cryptography: This area includes not only securing the lines of network communications between the server upon which the web app is stored at and from where it is accessed from but also ensuring that all personally identifiable information (PII) that is stored remains in a ciphertext format and that its integrity remains intact while in transmission. Penetration testing: This involves literally breaking apart a Web app from the external environment and going inside of it, in order to discover all weaknesses and vulnerabilities and making sure that they are patched before the actual Web app is launched into a production state of operation. Threat hunting: This uses both skilled analysts and tools on the Web app and supporting infrastructure to continuously monitor the environment to find all security holes and gaps. The Dark Web: This is that part of the Internet that is not openly visible to the public. As its name implies, this is the "sinister" part of the Internet, and in fact, where much of the PII that is hijacked from a web app cyberattack is sold to other cyberattackers in order to launch more covert and damaging threats to a potential victim. Testing and Securing Web Applications breaks down the complexity of web application security testing so this critical part of IT and corporate infrastructure remains safe and in operation.

Web applications occupy a large space within the IT infrastructure of a business or a corporation. They simply just don't touch a front end or a back end; today's web apps impact just about every corner of it. Today's web apps have become complex, which has made them a prime target for sophisticated cyberattacks. As a result, web apps must be literally tested from the inside and out in terms of security before they can be deployed and launched to the public for business transactions to occur. The primary objective of this book is to address those specific areas that require testing before a web app can be considered to be completely secure. The book specifically examines five key areas: Network security: This encompasses the various network components that are involved in order for the end user to access the particular web app from the server where it is stored at to where it is being transmitted to, whether it is a physical computer itself or a wireless device (such as a smartphone). Cryptography: This area includes not only securing the lines of network communications between the server upon which the web app is stored at and from where it is accessed from but also ensuring that all personally identifiable information (PII) that is stored remains in a ciphertext format and that its integrity remains intact while in transmission. Penetration testing: This involves literally breaking apart a Web app from the external environment and going inside of it, in order to discover all weaknesses and vulnerabilities and making sure that they are patched before the actual Web app is launched into a production state of operation. Threat hunting: This uses both skilled analysts and tools on the Web app and supporting infrastructure to continuously monitor the environment to find all security holes and gaps. The Dark Web: This is that part of the Internet that is not openly visible to the public. As its name implies, this is the "sinister" part of the Internet, and in fact, where much of the PII that is hijacked from a web app cyberattack is sold to other cyberattackers in order to launch more covert and damaging threats to a potential victim. Testing and Securing Web Applications breaks down the complexity of web application security testing so this critical part of IT and corporate infrastructure remains safe and in operation.

The second edition of Data Protection goes beyond the traditional topics including deduplication, continuous availability, snapshots, replication, backup, and recovery, and explores such additional considerations as legal, privacy, and ethical issues. A new model is presented for understanding and planning the various aspects of data protection, which is essential to developing holistic strategies. The second edition also addresses the cloud and the growing adoption of software and function as a service, as well as effectively planning over the lifespan of a workload: what the best mix of traditional and cloud native data protection services might be. Virtualization continues to present new challenges to data protection, and the impact of containerization is examined. The book takes a holistic, business-based approach to data protection. It explains how data protection is a mix of proactive and reactive planning, technology, and activities that allow for data continuity. There are three essential activities that refer to themselves as data protection; while they all overlap in terms of scope and function, each operates as a reasonably self-contained field with its own specialists and domain nomenclature. These three activities are: * Data protection as a storage and recovery activity * Data protection as a security activity * Data protection as a privacy activity These activities are covered in detail, with a focus on how organizations can use them to leverage their IT investments and optimize costs. The book also explains how data protection is becoming an enabler for new processes around data movement and data processing. This book arms readers with information critical for making decisions on how data can be protected against loss in the cloud, on premises, or in a mix of the two. It explains the changing face of recovery in a highly virtualized datacenter and techniques for dealing with big data. Moreover, it presents a model for where data recovery processes can be integrated with IT governance and management in order to achieve the right focus on recoverability across the business. About the Author Preston de Guise has been working with data recovery products for his entire career-designing, implementing, and supporting solutions for governments, universities, and businesses ranging from SMEs to Fortune 500 companies. This broad exposure to industry verticals and business sizes has enabled Preston to understand not only the technical requirements of data protection and recovery, but the management and procedural aspects too.

The second edition of Data Protection goes beyond the traditional topics including deduplication, continuous availability, snapshots, replication, backup, and recovery, and explores such additional considerations as legal, privacy, and ethical issues. A new model is presented for understanding and planning the various aspects of data protection, which is essential to developing holistic strategies. The second edition also addresses the cloud and the growing adoption of software and function as a service, as well as effectively planning over the lifespan of a workload: what the best mix of traditional and cloud native data protection services might be. Virtualization continues to present new challenges to data protection, and the impact of containerization is examined. The book takes a holistic, business-based approach to data protection. It explains how data protection is a mix of proactive and reactive planning, technology, and activities that allow for data continuity. There are three essential activities that refer to themselves as data protection; while they all overlap in terms of scope and function, each operates as a reasonably self-contained field with its own specialists and domain nomenclature. These three activities are: * Data protection as a storage and recovery activity * Data protection as a security activity * Data protection as a privacy activity These activities are covered in detail, with a focus on how organizations can use them to leverage their IT investments and optimize costs. The book also explains how data protection is becoming an enabler for new processes around data movement and data processing. This book arms readers with information critical for making decisions on how data can be protected against loss in the cloud, on premises, or in a mix of the two. It explains the changing face of recovery in a highly virtualized datacenter and techniques for dealing with big data. Moreover, it presents a model for where data recovery processes can be integrated with IT governance and management in order to achieve the right focus on recoverability across the business. About the Author Preston de Guise has been working with data recovery products for his entire career-designing, implementing, and supporting solutions for governments, universities, and businesses ranging from SMEs to Fortune 500 companies. This broad exposure to industry verticals and business sizes has enabled Preston to understand not only the technical requirements of data protection and recovery, but the management and procedural aspects too.

Cyber Strategy: Risk-Driven Security and Resiliency provides a process and roadmap for any company to develop its unified Cybersecurity and Cyber Resiliency strategies. It demonstrates a methodology for companies to combine their disassociated efforts into one corporate plan with buy-in from senior management that will efficiently utilize resources, target high risk threats, and evaluate risk assessment methodologies and the efficacy of resultant risk mitigations. The book discusses all the steps required from conception of the plan from preplanning (mission/vision, principles, strategic objectives, new initiatives derivation), project management directives, cyber threat and vulnerability analysis, cyber risk and controls assessment to reporting and measurement techniques for plan success and overall strategic plan performance. In addition, a methodology is presented to aid in new initiative selection for the following year by identifying all relevant inputs. Tools utilized include: Key Risk Indicators (KRI) and Key Performance Indicators (KPI) National Institute of Standards and Technology (NIST) Cyber Security Framework (CSF) Target State Maturity interval mapping per initiative Comparisons of current and target state business goals and critical success factors A quantitative NIST-based risk assessment of initiative technology components Responsible, Accountable, Consulted, Informed (RACI) diagrams for Cyber Steering Committee tasks and Governance Boards' approval processes Swimlanes, timelines, data flow diagrams (inputs, resources, outputs), progress report templates, and Gantt charts for project management The last chapter provides downloadable checklists, tables, data flow diagrams, figures, and assessment tools to help develop your company's cybersecurity and cyber resiliency strategic plan.

Attacks against computer systems can cause considerable economic or physical damage. High-quality development of security-critical systems is difficult, mainly because of the conflict between development costs and verifiable correctness.

JA1/4rjens presents the UML extension UMLsec for secure systems development. It uses the standard UML extension mechanisms, and can be employed to evaluate UML specifications for vulnerabilities using a formal semantics of a simplified fragment of UML. Established rules of security engineering can be encapsulated and hence made available even to developers who are not specialists in security. As one example, JA1/4rjens uncovers a flaw in the Common Electronic Purse Specification, and proposes and verifies a correction.

With a clear separation between the general description of his approach and its mathematical foundations, the book is ideally suited both for researchers and graduate students in UML or formal methods and security, and for advanced professionals writing critical applications.

There is much interest in the use of biometrics for verification, identification, and "screening" applications, collectively called biometric authentication. This interest has been heightened because of the threat of terrorism. Biometric authentication systems offer advantages over systems based on knowledge or possession such as unsupervised (legacy) authentication systems based on password/PIN and supervised (legacy) authentication systems based on driver's licences and passports. The most important advantage is increased security: when a person is authenticated based on a biometric, the probability that this person is the originally enrolled person can be statistically estimated or computed in some other way. When a person is authenticated based on a password or even based on human observation, no such probabilities can be determined. Of course, the mere capability to compute this probability is not sufficient, what is needed is that the probability of correct authentication is high and the error probabilities are low. Achieving this probabilistic linking by introducing biometrics in authentication systems brings along many design choices and may introduce additional security loopholes. "Biometrics" examines the many aspects of biometric applications that are an issue even before a particular biometrics has been selected. In addition, the book further studies many issues that are associated with the currently popular biometric identifiers, namely, finger, face, voice, iris, hand (geometry) and signature.

"Compulsively readable laugh out loud history." Mary Roach Bomb-carrying bats. Poisoned flower arrangements. Cigars laced with mind-altering drugs. Listening devices implanted into specially-trained cats. A torpedo-proof aircraft carrier made out of ice and sawdust. And a CIA plan to detonate a nuclear bomb on the moon ... just because. In Nuking the Moon, Vince Houghton, Historian and Curator at the International Spy Museum, collects the most inspired, implausible and downright bizarre military intelligence schemes that never quite made it off the drawing board. From the grandly ambitious to the truly devious, they illuminate a new side of warfare, revealing how a combination of desperation and innovation led not only to daring missions and brilliant technological advances, but to countless plans and experiments that failed spectacularly. Alternatively terrifying and hilarious, and combining archival research with newly-conducted interviews, these twenty-six chapters reveal not only what might have happened, but also what each one tells us about the history and people around it. If 'military intelligence' makes you think of James Bond and ingenious exploding gadgets ... get ready for the true story.

PrivacyEngineering is a hands-on guide to building a modern and flexible privacy program for your organization. It helps map essential legal requirements into practical engineering techniques that you can implement right away. The book develops your strategic understanding of data governance and helps you navigate the tricky trade-offs between privacy and business needs. You'll learn to spot risks in your own data management systems and prepare to satisfy both internal and external privacy audits. There's no bureaucratic new processes or expensive new software necessary. You'll learn how to repurpose the data and security tools you already use to achieve your privacy goals. Preserving the privacy of your users is essential for any successful business. Well-designed processes and data governance ensure that privacy is built into your systems from the ground up, keeping your users safe and helping your organization maintain compliance with the law.

Provides advanced system implementation for Smart Cities using Artificial Intelligence Addresses the complete functional framework workflow in Artificial Intelligence Explores basic and high-level concepts, thus servicing as a manual for those in the industry while also helping beginners Based on the latest technologies, and covering the major challenges, issues, and advances in Artificial Intelligence and Cybersecurity Discusses intelligent data management and automated systems through Artificial Intelligence and Cyber Security

Today the vast majority of the world's information resides in, is derived from, and is exchanged among multiple automated systems. Critical decisions are made, and critical action is taken based on information from these systems. Therefore, the information must be accurate, correct, and timely, and be manipulated, stored, retrieved, and exchanged safely, reliably, and securely. In a time when information is considered the latest commodity, information security should be top priority. A Practical Guide to Security Engineering and Information Assurance gives you an engineering approach to information security and information assurance (IA). The book examines the impact of accidental and malicious intentional action and inaction on information security and IA. Innovative long-term vendor, technology, and application-independent strategies show you how to protect your critical systems and data from accidental and intentional action and inaction that could lead to system failure or compromise. The author presents step-by-step, in-depth processes for defining information security and assurance goals, performing vulnerability and threat analysis, implementing and verifying the effectiveness of threat control measures, and conducting accident and incident investigations. She explores real-world strategies applicable to all systems, from small systems supporting a home-based business to those of a multinational corporation, government agency, or critical infrastructure system. The information revolution has brought its share of risks. Exploring the synergy between security, safety, and reliability engineering, A Practical Guide to Security Engineering and Information Assurance consolidates and organizes current thinking about information security/IA techniques, approaches, and best practices. As this book will show you, there is considerably more to information security/IA than firewalls, encryption, and virus protection.