The Security Hippie is Barak Engel's second book. As the originator of the "Virtual CISO" (fractional security chief) concept, he has served as security leader in dozens of notable organizations, such as Mulesoft, Stubhub, Amplitude Analytics, and many others. The Security Hippie follows his previous book, Why CISOs Fail, which became a sleeper hit, earning a spot in the Cybercannon project as a leading text on the topic of information security management. In this new book, Barak looks at security purely through the lens of story-telling, sharing many and varied experiences from his long and accomplished career as organizational and thought leader, and visionary in the information security field. Instead of instructing, this book teaches by example, sharing many real situations in the field and actual events from real companies, as well as Barak's related takes and thought processes. An out-of-the-mainstream, counterculture thinker - Hippie - in the world of information security, Barak's rich background and unusual approach to the field come forth in this book in vivid color and detail, allowing the reader to sit back and enjoy these experiences, and perhaps gain insights when faced with similar issues themselves or within their organizations. The author works hard to avoid technical terms as much as possible, and instead focus on the human and behavioral side of security, finding the humor inherent in every anecdote and using it to demystify the field and connect with the reader. Importantly, these are not the stories that made the news; yet they are the ones that happen all the time. If you've ever wondered about the field of information security, but have been intimidated by it, or simply wished for more shared experiences, then The Security Hippie is the perfect way to open that window by accompanying Barak on some of his many travels into the land of security.

Cybersecurity is an extremely important area which is rapidly evolving, necessarily, to meet current and future threats. Anyone who studies within this domain requires a particular skillset and way of thinking, balancing technical knowledge and human insight. It is vital to recognize both sides of this complex area and integrate the two. This book looks at the technical fields progressively, building up in layers before expanding into more advanced topics. Each area is looked at succinctly, describing the main elements and problems in each area and reinforcing these concepts with practical coding examples, questions and ideas for further research. The book builds on an overview of basic architecture of systems and networks, setting a context for how information is vulnerable. Cryptography is explained in detail with examples, showing the steady progress in this area over time through to the possibilities of quantum encryption. Steganography is also explained, showing how this can be used in a modern-day context through multimedia and even Virtual Reality. A large section of the book is given to the technical side of hacking, how such attacks occur, how they can be avoided and what to do after there has been an intrusion of some description. Cyber countermeasures are explored, along with automated systems of defense, whether created by the programmer or through firewalls and suchlike. The human aspect of cyber security is detailed along with the psychology and motivations for launching attacks. Social engineering is focused on and with the various techniques looked at - revealing how an informed individual, organization or workplace can protect themselves against incursions and breaches. Finally, there is a look the latest developments in the field, and how systems, such as the IoT are being protected. The book is intended for advanced undergraduate and postgraduate courses on cybersecurity but is also useful for those studying IT or Computer Science more generally.

Nanoelectronic Devices for Hardware and Software Security has comprehensive coverage of the principles, basic concepts, structure, modeling, practices, and circuit applications of nanoelectronics in hardware/software security. It also covers the future research directions in this domain. In this evolving era, nanotechnology is converting semiconductor devices dimensions from micron technology to nanotechnology. Nanoelectronics would be the key enabler for innovation in nanoscale devices, circuits, and systems. The motive for this research book is to provide relevant theoretical frameworks that include device physics, modeling, circuit design, and the latest developments in experimental fabrication in the field of nanotechnology for hardware/software security. There are numerous challenges in the development of models for nanoscale devices (e.g., FinFET, gate-all-around devices, TFET, etc.), short channel effects, fringing effects, high leakage current, and power dissipation, among others. This book will help to identify areas where there are challenges and apply nanodevice and circuit techniques to address hardware/software security issues.

The threat landscape is evolving with tremendous speed. We are facing an extremely fast-growing attack surface with a diversity of attack vectors, a clear asymmetry between attackers and defenders, billions of connected IoT devices, mostly reactive detection and mitigation approaches, and finally big data challenges. The clear asymmetry of attacks and the enormous amount of data are additional arguments to make it necessary to rethink cybersecurity approaches in terms of reducing the attack surface, to make the attack surface dynamic, to automate the detection, risk assessment, and mitigation, and to investigate the prediction and prevention of attacks with the utilization of emerging technologies like blockchain, artificial intelligence and machine learning. This book contains eleven chapters dealing with different Cybersecurity Issues in Emerging Technologies. The issues that are discussed and analyzed include smart connected cars, unmanned ships, 5G/6G connectivity, blockchain, agile incident response, hardware assisted security, ransomware attacks, hybrid threats and cyber skills gap. Both theoretical analysis and experimental evaluation of state-of-the-art techniques are presented and discussed. Prospective readers can be benefitted in understanding the future implications of novel technologies and proposed security solutions and techniques. Graduate and postgraduate students, research scholars, academics, cybersecurity professionals, and business leaders will find this book useful, which is planned to enlighten both beginners and experienced readers.

This book provides an integrated solution for security and safety in the home, covering both assistance in health monitoring and safety from strangers/intruders who want to enter the home with harmful intentions. It defines a system whereby recognition of a person/stranger at the door is done using three modules: Face Recognition, Voice Recognition and Similarity Index. These three modules are taken together to provide a percentage likelihood that the individual is in the "known" or "unknown" category. The system can also continuously monitor the health parameters of a vulnerable person living alone at home and aid them in calling for help in an emergency. The authors have analyzed a number of existing biometric techniques to provide security for an individual living alone at home. These biometric techniques have been tested using MATLAB (R) image processing and signal processing toolboxes, and results have been calculated on the basis of recognition rate. A major contribution in providing security is a hybrid algorithm proposed by the author named PICA, which combines features of both PCA (Principle Component Analysis) and ICA (Independent Component Analysis) algorithms. This hybrid approach gives better performance recognition than either system alone. The second proposed hybrid algorithm for voice recognition is named as a MFRASTA algorithm by combining features of MFCC (Mel Frequency Cepstral Coefficient) and RASTA-PLP (RelAtive SpecTrA-Perceptual Linear Prediction) algorithm. After performing experiments, results are collected on the basis of recognition rate. The authors have also proposed a third technique named as a Similarity Index to provide trust-based security for an individual. This technique is text independent in which a person is recognized by pronunciation, frequency, tone, pitch, etc., irrespective of the content spoken by the person. By combining these three techniques, a high recognition rate is provided to the person at the door and high security to the individual living independently at home. In the final contribution, the authors have proposed a fingertip-based application for health monitoring by using the concept of sensors. This application is developed using iPhone 6's camera. When a person puts their fingertip on a camera lens, with the help of brightness of the skin, the person's heartbeat will be monitored. This is possible even with a low-quality camera. In case of any emergency, text messages will be sent to the family members of the individual living alone by using 3G Dongle and MATLAB tool. Results show that the proposed work outperforms all the existing techniques used in face recognition, voice recognition, and health monitoring alone.

Stuxnet to Sunburst: 20 Years of Digital Exploitation and Cyberwarfare takes the reader on a journey from the terrorist attacks of 9/11 onwards and the massive insatiable appetite, focus and investment by the Five Eyes agencies, in particular the U.S., to build the capability of digital eavesdropping and industrial espionage. With tens of trillions of dollars moving throughout hundreds of thousands of staff, and many contractors draining the country of intelligence and technical capability, the quest was simple and the outcome horrifying. No one in the world has connected the dots, until now. From digital eavesdropping and manipulation of the agencies to Stuxnet, this book covers how the world's first use of digital code and digital certificates for offensive purposes against the Iranians and their nuclear power facilities, caused collateral damage. Proceeding to today's SolarWinds attack, code-named Sunburst, the same methods of exploitation and manipulation originally used by the agencies are now being used against companies and governments with devastating effects. The SolarWinds breach has caused knock-on breaches to thousands of client companies including the U.S. government and is estimated to cost more than one trillion dollars. The monster has truly been turned against its creator and due to the lack of security and defence, breaches are occurring daily at an alarming rate. The U.S. and UK governments have little to no answer. The book also contains a chapter on breaches within the COVID-19 sector from research to immunisation and the devastating December 2020 breach of SolarWinds.

Stuxnet to Sunburst: 20 Years of Digital Exploitation and Cyberwarfare takes the reader on a journey from the terrorist attacks of 9/11 onwards and the massive insatiable appetite, focus and investment by the Five Eyes agencies, in particular the U.S., to build the capability of digital eavesdropping and industrial espionage. With tens of trillions of dollars moving throughout hundreds of thousands of staff, and many contractors draining the country of intelligence and technical capability, the quest was simple and the outcome horrifying. No one in the world has connected the dots, until now. From digital eavesdropping and manipulation of the agencies to Stuxnet, this book covers how the world's first use of digital code and digital certificates for offensive purposes against the Iranians and their nuclear power facilities, caused collateral damage. Proceeding to today's SolarWinds attack, code-named Sunburst, the same methods of exploitation and manipulation originally used by the agencies are now being used against companies and governments with devastating effects. The SolarWinds breach has caused knock-on breaches to thousands of client companies including the U.S. government and is estimated to cost more than one trillion dollars. The monster has truly been turned against its creator and due to the lack of security and defence, breaches are occurring daily at an alarming rate. The U.S. and UK governments have little to no answer. The book also contains a chapter on breaches within the COVID-19 sector from research to immunisation and the devastating December 2020 breach of SolarWinds.

It is becoming increasingly important to design and develop adaptive, robust, scalable, reliable, security and privacy mechanisms for IoT applications and for Industry 4.0 related concerns. This book serves as a useful guide for researchers and industry professionals and will help beginners to learn the basics to the more advanced topics. Along with exploring security and privacy issues through the IoT ecosystem and examining its implications to the real-world, this book addresses cryptographic tools and techniques and presents the basic and high-level concepts that can serve as guidance for those in the industry as well as help beginners get a handle on both the basic and advanced aspects of security related issues. The book goes on to cover major challenges, issues, and advances in IoT and discusses data processing as well as applications for solutions, and assists in developing self-adaptive cyberphysical security systems that will help with issues brought about by new technologies within IoT and Industry 4.0. This edited book discusses the evolution of IoT and Industry 4.0 and brings security and privacy related technological tools and techniques onto a single platform so that researchers, industry professionals, graduate, postgraduate students, and academicians can easily understand the security, privacy, challenges and opportunity concepts and make then ready to use for applications in IoT and Industry 4.0.

The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications. It also covers recent (IoT) applications such as the Markovian Arrival Process, fog computing, real-time solar energy monitoring, healthcare, and agriculture. Fundamental concepts of gathering, processing, and analyzing different Artificial Intelligence (AI) models in IoT applications are covered along with recent detection mechanisms for different types of attacks for effective network communication. On par with the standards laid out by international organizations in related fields, the book focuses on both core concepts of IoT along with major application areas. Designed for technical developers, academicians, data scientists, industrial researchers, professionals, and students, this book is useful in uncovering the latest innovations in the field of IoT.

This book constitutes the refereed proceedings of the 16th IFIP WG 9.4 International Conference on Social Implications of Computers in Developing Countries, ICT4D 2020, which was supposed to be held in Salford, UK, in June 2020, but was held virtually instead due to the COVID-19 pandemic. The 18 revised full papers presented were carefully reviewed and selected from 29 submissions. The papers present a wide range of perspectives and disciplines including (but not limited to) public administration, entrepreneurship, business administration, information technology for development, information management systems, organization studies, philosophy, and management. They are organized in the following topical sections: digital platforms and gig economy; education and health; inclusion and participation; and business innovation and data privacy.

This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. It devotes three chapters to review the background and basic knowledge, four chapters to discuss specific types of cryptographic primitive design for blockchain, one chapter to discuss optimization tools and another chapter for blockchain regulation and economies. This book covers the systematic survey of research objects, as well as detailed reviews of cryptographic schemes, lectures and methodologies to practice cryptography. The main findings of this book are summarized as following, first, the practical design and analysis of cryptographic schemes for blockchain can address major problems in blockchain at algorithmic level. Then, some intrinsic deficiencies in some traditional cryptographic primitives, like centralized setup, impractical design, etc, prevent the successful application of these primitives in blockchain. However, huge efforts are being made to make these primitives practical and applicable for researchers. Finally, the formal and rigorous design and analysis of public key cryptographic algorithms is vital to blockchain. Design and Analysis of Cryptographic Algorithms in Blockchain is a useful textbook for graduate students and PhD students, or researches who wish to connect cryptography with blockchain for research and developing projects.

This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. It devotes three chapters to review the background and basic knowledge, four chapters to discuss specific types of cryptographic primitive design for blockchain, one chapter to discuss optimization tools and another chapter for blockchain regulation and economies. This book covers the systematic survey of research objects, as well as detailed reviews of cryptographic schemes, lectures and methodologies to practice cryptography. The main findings of this book are summarized as following, first, the practical design and analysis of cryptographic schemes for blockchain can address major problems in blockchain at algorithmic level. Then, some intrinsic deficiencies in some traditional cryptographic primitives, like centralized setup, impractical design, etc, prevent the successful application of these primitives in blockchain. However, huge efforts are being made to make these primitives practical and applicable for researchers. Finally, the formal and rigorous design and analysis of public key cryptographic algorithms is vital to blockchain. Design and Analysis of Cryptographic Algorithms in Blockchain is a useful textbook for graduate students and PhD students, or researches who wish to connect cryptography with blockchain for research and developing projects.

This book consolidates several key aspects from the state-of-the-art research in symmetric key cryptography, which is among the cornerstones of digital security. It presents the content in an informative yet beginner-friendly, accompanied with toy examples and comprehensible graphics. In particular, it highlights the recent developments in tool-assisted analysis of ciphers. Furthermore, promising device-dependent attacks, such as fault attack and side channel attacks on symmetric key ciphers, are discussed in detail. One salient feature of this book is to present a detailed analysis of various fault countermeasures. The coverage of our book is quite diverse-it ranges from prerequisite information, latest research contribution as well as future research directions. It caters to students and researchers working in the field of cryptography.

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.

Proof techniques in cryptography are very difficult to understand, even for students or researchers who major in cryptography. In addition, in contrast to the excessive emphases on the security proofs of the cryptographic schemes, practical aspects of them have received comparatively less attention. This book addresses these two issues by providing detailed, structured proofs and demonstrating examples, applications and implementations of the schemes, so that students and practitioners may obtain a practical view of the schemes. Seong Oun Hwang is a professor in the Department of Computer Engineering and director of Artificial Intelligence Security Research Center, Gachon University, Korea. He received the Ph.D. degree in computer science from the Korea Advanced Institute of Science and Technology (KAIST), Korea. His research interests include cryptography, cybersecurity, networks, and machine learning. Intae Kim is an associate research fellow at the Institute of Cybersecurity and Cryptology, University of Wollongong, Australia. He received the Ph.D. degree in electronics and computer engineering from Hongik University, Korea. His research interests include cryptography, cybersecurity, and networks. Wai Kong Lee is an assistant professor in UTAR (University Tunku Abdul Rahman), Malaysia. He received the Ph.D. degree in engineering from UTAR, Malaysia. In between 2009 - 2012, he served as an R&D engineer in several multinational companies including Agilent Technologies (now known as Keysight) in Malaysia. His research interests include cryptography engineering, GPU computing, numerical algorithms, Internet of Things (IoT) and energy harvesting.

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models' concepts from the domain of formal mathematics into computer codes using MATLAB (R). The unique feature of this book is that the theoretical concepts are first presented using an intuition-based approach followed by the description of the fundamental algorithms behind hidden Markov models using MATLAB (R). This approach, by means of analysis followed by synthesis, is suitable for those who want to study the subject using a more empirical approach. Key Selling Points: Presents a broad range of concepts related to Hidden Markov Models (HMM), from simple problems to advanced theory Covers the analysis of both continuous and discrete Markov chains Discusses the translation of HMM concepts from the realm of formal mathematics into computer code Offers many examples to supplement mathematical notation when explaining new concepts

This book is a timely document of state-of-the-art techniques in the domain of contact tracing applications. Well known in the field of medical science, this topic has recently received attention from governments, industries and academic communities due to the COVID-19 pandemic. This book provides a link between new proposals related to contact tracing applications and a contextual literature review primarily from the cryptologic viewpoint. As these applications are related to security and privacy of individuals, analyzing them from cryptologic viewpoint is of utmost importance. Therefore, present developments from cryptologic aspects of most proposals around the world, including Singapore, Europe, USA, Australia and India, have been discussed. Providing an in-depth study on the design rationale of each protocol, this book is of value to researchers, students and professionals alike.

Most coding theory experts date the origin of the subject with the 1948 publication of A Mathematical Theory of Communication by Claude Shannon. Since then, coding theory has grown into a discipline with many practical applications (antennas, networks, memories), requiring various mathematical techniques, from commutative algebra, to semi-definite programming, to algebraic geometry. Most topics covered in the Concise Encyclopedia of Coding Theory are presented in short sections at an introductory level and progress from basic to advanced level, with definitions, examples, and many references. The book is divided into three parts: Part I fundamentals: cyclic codes, skew cyclic codes, quasi-cyclic codes, self-dual codes, codes and designs, codes over rings, convolutional codes, performance bounds Part II families: AG codes, group algebra codes, few-weight codes, Boolean function codes, codes over graphs Part III applications: alternative metrics, algorithmic techniques, interpolation decoding, pseudo-random sequences, lattices, quantum coding, space-time codes, network coding, distributed storage, secret-sharing, and code-based-cryptography. Features Suitable for students and researchers in a wide range of mathematical disciplines Contains many examples and references Most topics take the reader to the frontiers of research

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.

Learn to deploy proven cryptographic tools in your applications and services Cryptography is, quite simply, what makes security and privacy in the digital world possible. Tech professionals, including programmers, IT admins, and security analysts, need to understand how cryptography works to protect users, data, and assets. Implementing Cryptography Using Python will teach you the essentials, so you can apply proven cryptographic tools to secure your applications and systems. Because this book uses Python, an easily accessible language that has become one of the standards for cryptography implementation, you'll be able to quickly learn how to secure applications and data of all kinds. In this easy-to-read guide, well-known cybersecurity expert Shannon Bray walks you through creating secure communications in public channels using public-key cryptography. You'll also explore methods of authenticating messages to ensure that they haven't been tampered with in transit. Finally, you'll learn how to use digital signatures to let others verify the messages sent through your services. Learn how to implement proven cryptographic tools, using easy-to-understand examples written in Python Discover the history of cryptography and understand its critical importance in today's digital communication systems Work through real-world examples to understand the pros and cons of various authentication methods Protect your end-users and ensure that your applications and systems are using up-to-date cryptography

Cryptographic applications, such as RSA algorithm, ElGamal cryptography, elliptic curve cryptography, Rabin cryptosystem, Diffie -Hellmann key exchange algorithm, and the Digital Signature Standard, use modular exponentiation extensively. The performance of all these applications strongly depends on the efficient implementation of modular exponentiation and modular multiplication. Since 1984, when Montgomery first introduced a method to evaluate modular multiplications, many algorithmic modifications have been done for improving the efficiency of modular multiplication, but very less work has been done on the modular exponentiation to improve the efficiency. This research monograph addresses the question- how can the performance of modular exponentiation, which is the crucial operation of many public-key cryptographic techniques, be improved? The book focuses on Energy Efficient Modular Exponentiations for Cryptographic hardware. Spread across five chapters, this well-researched text focuses in detail on the Bit Forwarding Techniques and the corresponding hardware realizations. Readers will also discover advanced performance improvement techniques based on high radix multiplication and Cryptographic hardware based on multi-core architectures.

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic algorithms, are included to facilitate the understanding of the developed ideas. Several applications of these techniques to biomedical problems, ranging from cancer and neurodegenerative disease to depression, are illustrated to show the potential of fuzzy recurrence methods. This book opens a new door to theorists in complex systems science as well as specialists in medicine, biology, engineering, physics, computer science, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.