Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection.""Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection"" bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.

Smart Homes (SH) offer a promising approach to assisted living for the ageing population. Yet the main obstacle to the rapid development and deployment of Smart Home (SH) solutions essentially arises from the nature of the SH field, which is multidisciplinary and involves diverse applications and various stakeholders. Accordingly, an alternative to a one-size-fits-all approach is needed in order to advance the state of the art towards an open SH infrastructure. This book makes a valuable and critical contribution to smart assisted living research through the development of new effective, integrated, and interoperable SH solutions. It focuses on four underlying aspects: (1) Sensing and Monitoring Technologies; (2) Context Interference and Behaviour Analysis; (3) Personalisation and Adaptive Interaction, and (4) Open Smart Home and Service Infrastructures, demonstrating how fundamental theories, models and algorithms can be exploited to solve real-world problems. This comprehensive and timely book offers a unique and essential reference guide for policymakers, funding bodies, researchers, technology developers and managers, end users, carers, clinicians, healthcare service providers, educators and students, helping them adopt and implement smart assisted living systems.

Stories of cyberattacks dominate the headlines. Whether it is theft of massive amounts of personally identifiable information or the latest intrusion of foreign governments in U.S. government and industrial sites, cyberattacks are now important. For professionals and the public, knowing how the attacks are launched and succeed is vital to ensuring cyber security. The book provides a concise summary in a historical context of the major global cyber security attacks since 1980. Each attack covered contains an overview of the incident in layman terms, followed by a technical details section, and culminating in a lessons learned and recommendations section.

ONE-VOLUME INTRODUCTION TO COMPUTER SECURITY Clearly explains core concepts, terminology, challenges, technologies, and skills Covers today's latest attacks and countermeasures The perfect beginner's guide for anyone interested in a computer security career Dr. Chuck Easttom brings together complete coverage of all basic concepts, terminology, and issues, along with all the skills you need to get started. Drawing on 30 years of experience as a security instructor, consultant, and researcher, Easttom helps you take a proactive, realistic approach to assessing threats and implementing countermeasures. Writing clearly and simply, he addresses crucial issues that many introductory security books ignore, while addressing the realities of a world where billions of new devices are Internet-connected. This guide covers web attacks, hacking, spyware, network defense, security appliances, VPNs, password use, and much more. Its many tips and examples refl ect new industry trends and the state-of-the-art in both attacks and defense. Exercises, projects, and review questions in every chapter help you deepen your understanding and apply all you've learned. LEARN HOW TO Identify and prioritize potential threats to your network Use basic networking knowledge to improve security Get inside the minds of hackers, so you can deter their attacks Implement a proven layered approach to network security Resist modern social engineering attacks Defend against today's most common Denial of Service (DoS) attacks Halt viruses, spyware, worms, Trojans, and other malware Prevent problems arising from malfeasance or ignorance Choose the best encryption methods for your organization Compare security technologies, including the latest security appliances Implement security policies that will work in your environment Scan your network for vulnerabilities Evaluate potential security consultants Master basic computer forensics and know what to do if you're attacked Learn how cyberterrorism and information warfare are evolving

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

Discover the latest trends, developments and technology in information security with Whitman/Mattord's market-leading PRINCIPLES OF INFORMATION SECURITY, 7th Edition. Designed specifically to meet the needs of information systems students like you, this edition's balanced focus addresses all aspects of information security, rather than simply offering a technical control perspective. This overview explores important terms and examines what is needed to manage an effective information security program. A new module details incident response and detection strategies. In addition, current, relevant updates highlight the latest practices in security operations as well as legislative issues, information management toolsets, digital forensics and the most recent policies and guidelines that correspond to federal and international standards. MindTap digital resources offer interactive content to further strength your success as a business decision-maker.

This book provides the reader with the most up-to-date knowledge of blockchain in mainstream areas of security, trust, and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and P2P applications is increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book also provides the technical information regarding blockchain-oriented software, applications, and tools required for the researcher and developer experts in both computing and software engineering to provide solutions and automated systems against current security, trust and privacy issues in the cyberspace. Cybersecurity, trust and privacy (CTP) are pressing needs for governments, businesses, and individuals, receiving the utmost priority for enforcement and improvement in almost any societies around the globe. Rapid advances, on the other hand, are being made in emerging blockchain technology with broadly diverse applications that promise to better meet business and individual needs. Blockchain as a promising infrastructural technology seems to have the potential to be leveraged in different aspects of cybersecurity promoting decentralized cyberinfrastructure. Blockchain characteristics such as decentralization, verifiability and immutability may revolve current cybersecurity mechanisms for ensuring the authenticity, reliability, and integrity of data. Almost any article on the blockchain points out that the cybersecurity (and its derivatives) could be revitalized if it is supported by blockchain technology. Yet, little is known about factors related to decisions to adopt this technology, and how it can systemically be put into use to remedy current CTP's issues in the digital world. Topics of interest for this book include but not limited to: Blockchain-based authentication, authorization and accounting mechanisms Applications of blockchain technologies in digital forensic and threat hunting Blockchain-based threat intelligence and threat analytics techniques Formal specification of smart contracts Automated tools for outsmarting smart contracts Security and privacy aspects of blockchain technologies Vulnerabilities of smart contracts Blockchain for securing cyber infrastructure and internet of things networks Blockchain-based cybersecurity education systems This book provides information for security and privacy experts in all the areas of blockchain, cryptocurrency, cybersecurity, forensics, smart contracts, computer systems, computer networks, software engineering, applied artificial intelligence for computer security experts, big data analysts, and decentralized systems. Researchers, scientists and advanced level students working in computer systems, computer networks, artificial intelligence, big data will find this book useful as well.

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

Co-written by a PCI QSA (Qualified Security Assessor) and updated to cover PCI DSS version 3.2, this handy pocket guide provides all the information you need to consider as you approach the PCI DSS. It is also an ideal training resource for anyone in your organisation involved with payment card processing.

i. This book will contain AI, ML, DL, big data and security never before considered ii. Innovative artificial intelligence techniques and algorithms iii. Only emerging from recent research and development, e.g. AI for big data from security perspective, which are not covered in any existing texts iv. Artificial Intelligence for big data and security Applications with advanced features v. Key new finding of machine learning and deep learning for Security Applications

This book contains selected papers presented at the 15th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Maribor, Slovenia, in September 2020.*The 13 full papers included in this volume were carefully reviewed and selected from 21 submissions. Also included is a summary paper of a tutorial. As in previous years, one of the goals of the IFIP Summer School was to encourage the publication of thorough research papers by students and emerging scholars. The papers combine interdisciplinary approaches to bring together a host of perspectives, such as technical, legal, regulatory, socio-economic, social or societal, political, ethical, anthropological, philosophical, or psychological perspectives. *The summer school was held virtually.

In the news on a daily basis are reports of lost or stolen computer data, hacker successes, identity thefts, virus and spyware problems, and network incursions of various kinds. Many people, especially nonprofessional administrators of home or small business networks, feel helpless. In this book, technical security expert Philip Alexander explains in layman's terms how to keep networks and individual computers safe from the bad guys. In presenting solutions to these problems and many others, the book is a lifeline to those who know their computer systems are vulnerable to smart thieves and hackers-not to mention tech-savvy kids or employees who are swapping music files, stealing software, or otherwise making a mockery of the word security. In his job protecting data and combating financial fraud, Philip Alexander knows well which power tools are required to keep hackers and thieves at bay. With his gift for putting technical solutions in everyday language, Alexander helps readers with home and/or small business networks protect their data, their identities, and their privacy using the latest techniques. In addition, readers will learn how to protect PDAs and smartphones, how to make hardware thefts more unlikely, how to sniff out scammers and the motives of offshore tech support personnel who ask too many questions, and how to keep personal information safer when shopping over the Internet or telephone. The emphasis throughout the book is on managing security-putting protections and policies in place that will make it far less likely that readers become victims. What's more, the book isn't just about the dangers of technical ignorance: It is designed to show readers how to get the most from their systems, how the latest software can increase productivity, how to solve knotty computer problems without getting tied into knots yourself, and when to call in the pros. This book does more than provide solutions-it provides peace of mind.

This book examines the use of social network analysis (SNA) in operational environments from the perspective of those who actually apply it. A rapidly growing body of literature suggests that SNA can reveal significant insights into the overall structure of criminal networks as well as the position of critical actors within such groups. This book draws on the existing SNA and intelligence literature, as well as qualitative interviews with crime intelligence analysts from two Australian state law enforcement agencies to understand its use by law enforcement agencies and the extent to which it can be used in practice. It includes a discussion of the challenges that analysts face when attempting to apply various network analysis techniques to criminal networks. Overall, it advances SNA as an investigative tool, and provides a significant contribution to the field that will be of interest to both researchers and practitioners interested in social network analysis, intelligence analysis and law enforcement.

More frequent and complex cyber threats require robust, automated and rapid responses from cyber security specialists. This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics; methods and practices; and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber security applications. Part two explains three different categories of graph learning including deterministic, generative and reinforcement learning and how they can be used for developing cyber defence models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms and technical details. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.

More frequent and complex cyber threats require robust, automated and rapid responses from cyber security specialists. This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics; methods and practices; and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber security applications. Part two explains three different categories of graph learning including deterministic, generative and reinforcement learning and how they can be used for developing cyber defence models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms and technical details. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.

This book is focused on addressing the designs of FinFET-based analog ICs for 5G and E-band communication networks. In addition, it also incorporates some of the contemporary developments over different fields. It highlights the latest advances, problems and challenges and presents the latest research results in the field of mm-wave integrated circuits designing based on scientific literature and its practical realization. The traditional approaches are excluded in this book. The authors cover various design guidelines to be taken care for while designing these circuits and detrimental scaling effects on the same. Moreover, Gallium Nitrides (GaN) are also reported to show huge potentials for the power amplifier designing required in 5G communication network. Subsequently, to enhance the readability of this book, the authors also include real-time problems in RFIC designing, case studies from experimental results, and clearly demarking design guidelines for the 5G communication ICs designing. This book incorporates the most recent FinFET architecture for the analog IC designing and the scaling effects along with the GaN technology as well.

This volume is authored by a mix of global contributors from across the landscape of academia, research institutions, police organizations, and experts in security policy and private industry to address some of the most contemporary challenges within the global security domain. The latter includes protection of critical infrastructures (CI), counter-terrorism, application of dark web, and analysis of a large volume of artificial intelligence data, cybercrime, serious and organised crime, border surveillance, and management of disasters and crises. This title explores various application scenarios of advanced ICT in the context of cybercrime, border security and crisis management, serious and organised crime, and protection of critical infrastructures. Readers will benefit from lessons learned from more than 30 large R&D projects within a security context. The book addresses not only theoretical narratives pertinent to the subject but also identifies current challenges and emerging security threats, provides analysis of operational capability gaps, and includes real-world applied solutions. Chapter 11 is available open access under a Creative Commons Attribution 3.0 IGO License via link.springer.com and Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud's log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS's cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS's cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the "why's and how's" of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol. Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud; Describes for IT managers how to improve their Cloud Computing infrastructures; Includes coverage of security concerns with Cloud operating models; Uses several case studies to illustrate the "why's and how's" of using the Cloud; Examples and options to improve Cloud Computing Scalability.

This book constructs a multidisciplinary approach to human security questions related to digitalisation in the European High North i.e. the northernmost areas of Scandinavia, Finland and North-Western Russia. It challenges the mainstream conceptualisation of cybersecurity and reconstructs it with the human being as the referent object of security.

This book is a compilation of selected papers from the fifth International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in November 2020 in Beijing, China. The purpose of this symposium is to discuss Inspection, test, certification and research for the software and hardware of Instrument and Control (I&C) systems in nuclear power plants (NPP), such as sensors, actuators and control system. It aims to provide a platform of technical exchange and experience sharing for those broad masses of experts and scholars and nuclear power practitioners, and for the combination of production, teaching and research in universities and enterprises to promote the safe development of nuclear power plant. Readers will find a wealth of valuable insights into achieving safer and more efficient instrumentation and control systems.

This book presents a compilation of selected papers from the Fourth International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in August 2019 in Guiyang, China. The purpose of the symposium was to discuss inspection, testing, certification and research concerning the software and hardware of instrument and control (I&C) systems used at nuclear power plants (NPP), such as sensors, actuators and control systems. The event provides a venue for exchange among experts, scholars and nuclear power practitioners, as well as a platform for the combination of teaching and research at universities and enterprises to promote the safe development of nuclear power plants. Readers will find a wealth of valuable insights into achieving safer and more efficient instrumentation and control systems.

Protect your organisation by building a security-minded culture "With this book, Kai Roer has taken his many years of cyber experience and provided those with a vested interest in cyber security a firm basis on which to build an effective cyber security training programme." Dr. Jane LeClair Chief Operating Officer National Cybersecurity Institute, Washington, D.C. Human nature - easy prey for hackers? Human behaviour is complex and inconsistent, making it a rich hunting ground for would-be hackers and a significant risk to the security of your organisation . An effective way to address this risk is to create a culture of security. Using the psychology of group behaviour and explaining how and why people follow social and cultural norms, the author highlights the underlying cause for many successful and easily preventable attacks. An effective framework for behavioural security In this book Kai Roer presents his Security Culture Framework, and addresses the human and cultural factors in organisational security. The author uses clear, everyday examples and analogies to reveal social and cultural triggers that drive human behaviour . He explains how to manage these threats by implementing an effective framework for an organisational culture, ensuring that your organisation is set up to repel malicious intrusions and threats based on common human vulnerabilities. Contents What is security culture? The Elements of security culture How does security culture relate to security awareness? Asking for help raises your chances of success The psychology of groups and how to use it to your benefit Measuring culture Building security culture About the author Kai Roer is a management and security consultant and trainer with extensive international experience from more than 30 countries around the world. He is a guest lecturer at several universities, and the founder of The Roer Group, a European management consulting group focusing on security culture. Kai has authored a number of books on leadership and cyber security , has been published extensively in print and online, has appeared on radio and television, and has featured in printed media. He is a columnist at Help Net Security and has been the Cloud Security Alliance Norway chapter president since 2012. Kai is a passionate public speaker who engages his audience with his entertaining style and deep knowledge of human behaviours , psychology and cyber security . He is a Fellow of the National Cybersecurity Institute and runs a blog on information security and culture (roer.com). Kai is the host of Security Culture TV, a monthly video and podcast. Series information Build a Security Culture is part of the Fundamentals Series, co-published by IT Governance Publishing and Information Security Buzz.

In this book, the protection of personal data is compared for eight EU member states,namely France, Germany, the United Kingdom, Ireland, Romania, Italy, Sweden andthe Netherlands. The comparison of the countries is focused on government policiesfor the protection of personal data, the applicable laws and regulations, implementationof those laws and regulations, and supervision and enforcement. Although the General Data Protection Regulation (GDPR) harmonizes the protectionof personal data across the EU as of May 2018, its open norms in combination withcultural differences between countries result in differences in the practical implementation,interpretation and enforcement of personal data protection. With its focus on data protection law in practice, this book provides indepth insightsinto how different countries deal with data protection issues. The knowledge and bestpractices from these countries provide highly relevant material for legal professionals,data protection officers, policymakers, data protection authorities and academicsacross Europe. Bart Custers is Associate Professor and Director of Research at the Center for Law andDigital Technologies of the Leiden Law School at Leiden University, the Netherlands.Alan M. Sears, Francien Dechesne, Ilina Georgieva and Tommaso Tani are all affiliated tothat same organization, of which Professor Simone van der Hof is the General Director.