Internet attack on computer systems is pervasive. It can take from less than a minute to as much as eight hours for an unprotected machine connected to the Internet to be completely compromised. It is the information security architect's job to prevent attacks by securing computer systems. This book describes both the process and the practice of assessing a computer system's existing information security posture. Detailing the time-tested practices of experienced security architects, it explains how to deliver the right security at the right time in the implementation lifecycle. Securing Systems: Applied Security Architecture and Threat Models covers all types of systems, from the simplest applications to complex, enterprise-grade, hybrid cloud architectures. It describes the many factors and prerequisite information that can influence an assessment. The book covers the following key aspects of security analysis: When should the security architect begin the analysis? At what points can a security architect add the most value? What are the activities the architect must execute? How are these activities delivered? What is the set of knowledge domains applied to the analysis? What are the outputs? What are the tips and tricks that make security architecture risk assessment easier? To help you build skill in assessing architectures for security, the book presents six sample assessments. Each assessment examines a different type of system architecture and introduces at least one new pattern for security analysis. The goal is that after you've seen a sufficient diversity of architectures, you'll be able to understand varied architectures and can better see the attack surfaces and prescribe security solutions.

Cyber attacks and IT breakdowns threaten every organization. The incidents accumulate and often form the prelude to complex, existence-threatening crises. This book helps not only to manage them, but also to prepare for and prevent cyber crises. Structured in a practical manner, it is ideally suited for crisis team members, communicators, security, IT and data protection experts on a day-to-day basis. With numerous illustrations and checklists.This book is a translation of the original German 1st edition Cyber Crisis Management by Holger Kaschner, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

The first section of this book addresses the evolution of CISO (chief information security officer) leadership, with the most mature CISOs combining strong business and technical leadership skills. CISOs can now add significant value when they possess an advanced understanding of cutting-edge security technologies to address the risks from the nearly universal operational dependence of enterprises on the cloud, the Internet, hybrid networks, and third-party technologies demonstrated in this book. In our new cyber threat-saturated world, CISOs have begun to show their market value. Wall Street is more likely to reward companies with good cybersecurity track records with higher stock valuations. To ensure that security is always a foremost concern in business decisions, CISOs should have a seat on corporate boards, and CISOs should be involved from beginning to end in the process of adopting enterprise technologies. The second and third sections of this book focus on building strong security teams, and exercising prudence in cybersecurity. CISOs can foster cultures of respect through careful consideration of the biases inherent in the socio-linguistic frameworks shaping our workplace language and through the cultivation of cyber exceptionalism. CISOs should leave no stone unturned in seeking out people with unique abilities, skills, and experience, and encourage career planning and development, in order to build and retain a strong talent pool. The lessons of the breach of physical security at the US Capitol, the hack back trend, and CISO legal liability stemming from network and data breaches all reveal the importance of good judgment and the necessity of taking proactive stances on preventative measures. This book will target security and IT engineers, administrators and developers, CIOs, CTOs, CISOs, and CFOs. Risk personnel, CROs, IT, security auditors and security researchers will also find this book useful.

This book looks at transatlantic jurisdictional conflicts in data protection law and how the fundamental right to data protection conditions the EU's exercise of extraterritorial jurisdiction. Governments, companies and individuals are handling ever more digitised personal data, so it is increasingly important to ensure this data is protected. Meanwhile, the Internet is changing how territory and jurisdiction are realised online. The EU promotes personal data protection as a fundamental right. Especially since the EU's General Data Protection Regulation started applying in 2018, its data protection laws have had strong effects beyond its territory. In contrast, similar US information privacy laws are rooted in the marketplace and carry less normative heft. This has provoked clashes with the EU when their values, interests and laws conflict. This research uses three case studies to suggest ways to mitigate transatlantic jurisdictional tensions over data protection and security, the free flow of information and trade.

This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

Data collected and distributed on the internet is generally free, non-exclusive, and non-rivalrous. Yet online data is often difficult to access. This book examines the infrastructure for collecting, storing, and distributing data to show how it is embedded behind intellectual property and technological barriers. It proposes that the EU introduce an access and transfer governance right to data that can work in tandem with data protection rules. Chapters explore the subject matter of this protection, potential rights holders and the scope of the protection, and exceptions and limitations under intellectual property law and competition law. Comprehensive and timely, Regulating Access and Transfer of Data, sets the foundations for a new legal system for our data-driven generation.

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.

This book constitutes the proceedings of the 29th International Conference on Web Services, ICWS 2022, held in Honolulu, USA, as part of SCF 2022, during December 10-14, 2022.The 9 full papers presented in this volume were carefully reviewed and selected from 20 submissions. The papers cover aspects of services computing and applications. Centered around services computing, it covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications.

This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research. The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.

Data privacy technologies are essential for implementing information systems with privacy by design.Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement-among other models-differential privacy, k-anonymity, and secure multiparty computation. Topics and features: Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications) Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users Offers characterization of privacy models, comparing their differences, advantages, and disadvantages Describes some of the most relevant algorithms to implement privacy models Includes examples of data protection mechanisms This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview. Vicenc Torra is Professor with the Department of Computing Science at Umea University, Umea, Sweden.

Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself--most people understand that this is crucial to social life --but the inappropriate, improper sharing of information.
Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts--whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.

This book presents chapters from diverse range of authors on different aspects of how Blockchain and IoT are converging and the impacts of these developments. The book provides an extensive cross-sectional and multi-disciplinary look into this trend and how it affects artificial intelligence, cyber-physical systems, and robotics with a look at applications in aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transport systems, smart cities, and smart healthcare. Cases include the impact of Blockchain for IoT Security; decentralized access control systems in IoT; Blockchain architecture for scalable access management in IoT; smart and sustainable IoT applications incorporating Blockchain, and more. The book presents contributions from international academics, researchers, and practitioners from diverse perspectives. Presents how Blockchain and IoT are converging and the impacts of these developments on technology and its application; Discusses IoT and Blockchain from cross-sectional and multi-disciplinary perspectives; Includes contributions from researchers, academics, and professionals from around the world.

This book explores the concepts and techniques of cloud security using blockchain. Also discussed is the possibility of applying blockchain to provide security in various domains. The authors discuss how blockchain holds the potential to significantly increase data privacy and security while boosting accuracy and integrity in cloud data. The specific highlight of this book is focused on the application of integrated technologies in enhancing cloud security models, use cases, and its challenges. The contributors, both from academia and industry, present their technical evaluation and comparison with existing technologies. This book pertains to IT professionals, researchers, and academicians towards fourth revolution technologies.

This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

As a social space, the web provides researchers both with a tool and an environment to explore the intricacies of everyday life. As a site of mediated interactions and interrelationships, the 'digital' has evolved from being a space of information to a space of creation, thus providing new opportunities regarding how, where and, why to conduct social research. Doing Research In and On the Digital aims to deliver on two fronts: first, by detailing how researchers are devising and applying innovative research methods for and within the digital sphere, and, secondly, by discussing the ethical challenges and issues implied and encountered in such approaches. In two core Parts, this collection explores: content collection: methods for harvesting digital data engaging research informants: digital participatory methods and data stories . With contributions from a diverse range of fields such as anthropology, sociology, education, healthcare and psychology, this volume will particularly appeal to post-graduate students and early career researchers who are navigating through new terrain in their digital-mediated research endeavours.

With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.

" A primer in practical computer security aimed at those shopping, communicating, or doing business online – almost everyone, in other words."
– The Economist

Viruses. Identity theft. Corporate espionage. National secrets compromised. Can anyone promise security in our digital world?

The man who introduced cryptography to the boardroom says no. But in this fascinating read, he shows us how to come closer by developing security measures in terms of context, tools, and strategy. Security is a process, not a product – one that system administrators and corporate executives alike must understand to survive.

" This book is of value to anyone whose business depends on safe use of e-mail, the Web, or other networked communications. If that’ s not yet everybody, it soon will be."
– Stephen H. Wildstrom, BusinessWeek

" It’ s not often that a truly outstanding book is written for both technical users and management. Fortunately, Secrets and Lie pulls off this feat rather well."
– Dustin Puryear, Linux.com

" Schneier . . . peppers the book with lively anecdotes and aphorisms, making it unusually accessible."
– Los Angeles Times

This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.

This book provides extensive insights on blockchain systems, starting from a historical perspective and moving towards building foundational knowledge, with focus on communication networks. It covers blockchain applications, algorithms, architectures, design and implementation, and security and privacy issues, providing the reader with a comprehensive overview. Further, it discusses blockchain systems and its integration to communication networks. The book includes hands-on, practical tutorials, self-assessment exercises, and review questions; tips and sample programs are also provided throughout. Complementary supporting material for instructors, including open source programming code for practical tutorials and exercises, is also available. The target audience includes graduate students, professionals, and researchers working in the areas of blockchain systems, distributed ledger technology, computer networks and communications, artificial intelligence, and cybersecurity.

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.

This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the growth of Blockchain technology. Then, this book presents a variety of perspectives on the most pressing questions in the field, such as: how IoT can connect billions of objects together; how the access control mechanisms in 5G-enabled industrial environment works; how to address the real-time and quality-of-service requirements for industrial applications; and how to ensure scalability and computing efficiency. Also, it includes a detailed discussions on the complexity of adoption of Blockchain for 5G-Enabled IoT and presents comparative case studies with respect to various performance evaluation metrics such as scalability, data management, standardization, interoperability and regulations, accessibility, human-factors engineering and interfaces, reliability, heterogeneity, and QoS requirements. This book acts as a professional guide for the practitioners in information security and related topics.

This book extends the work from introduction of ubiquitous computing, to the Internet of things to security and to privacy aspects of ubiquitous computing. The uniqueness of this book is the combination of important fields like the Internet of things and ubiquitous computing. It assumes that the readers' goal is to achieve a complete understanding of IoT, smart computing, security issues, challenges and possible solutions. It is not oriented towards any specific use cases and security issues; privacy threats in ubiquitous computing problems are discussed across various domains. This book is motivating to address privacy threats in new inventions for a wide range of stakeholders like layman to educated users, villages to metros and national to global levels. This book contains numerous examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols. The main endeavour of this book is threat analysis and activity modelling of attacks in order to give an actual view of the ubiquitous computing applications. The unique approach will help readers for a better understanding.

Shortly after it was first introduced in 2006, differential privacy became the flagship data privacy definition. Since then, numerous variants and extensions were proposed to adapt it to different scenarios and attacker models. In this work, we propose a systematic taxonomy of these variants and extensions. We list all data privacy definitions based on differential privacy, and partition them into seven categories, depending on which aspect of the original definition is modified. These categories act like dimensions: Variants from the same category cannot be combined, but variants from different categories can be combined to form new definitions. We also establish a partial ordering of relative strength between these notions by summarizing existing results. Furthermore, we list which of these definitions satisfy some desirable properties, like composition, post-processing, and convexity by either providing a novel proof or collecting existing ones.

This book constitutes the proceedings of the 28th International Conference on Web Services, ICWS 2021, held virtually as part of SCF 2021, during December 10-14, 2021. The 7 full papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover aspects of services computing and applications. Centered around services computing, it covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications.

Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics. While the development of lenses granted us insights into the micro and macrocosms, new sensors and technologies increasingly augment our cognitive abilities, including memory and perception. This book integrates current research efforts, results, and visions from the fields of computer science, neuroscience, and psychology. It provides a comprehensive overview of the state-of-the-art and future applications of how technologies assist and augment human perception and cognition. Experts in the field share their research and findings on: Working memory enhancements Digitization of memories through lifelog archives The consequences of technology-induced disruptions and forgetting The creation and utilization of new human senses Ethical and security concerns that arise with augmentation technologies. As technology weaves itself ever deeper into our lives, careful examination of its capabilities, risks and benefits is warranted. While this book focuses on the complementation and augmentation of human capabilities, it serves as a foundation for students, researchers and designers of technologies that push the boundaries of perception and cognition.