If you’re involved in cybersecurity as a software developer, forensic investigator, or network administrator, this practical guide shows you how to apply the scientific method when assessing techniques for protecting your information systems. You’ll learn how to conduct scientific experiments on everyday tools and procedures, whether you’re evaluating corporate security systems, testing your own security product, or looking for bugs in a mobile game. Once author Josiah Dykstra gets you up to speed on the scientific method, he helps you focus on standalone, domain-specific topics, such as cryptography, malware analysis, and system security engineering. The latter chapters include practical case studies that demonstrate how to use available tools to conduct domain-specific scientific experiments. Learn the steps necessary to conduct scientific experiments in cybersecurity Explore fuzzing to test how your software handles various inputs Measure the performance of the Snort intrusion detection system Locate malicious “needles in a haystack” in your network and IT environment Evaluate cryptography design and application in IoT products Conduct an experiment to identify relationships between similar malware binaries Understand system-level security requirements for enterprise networks and web services

Research Methods for Cyber Security teaches scientific methods for generating impactful knowledge, validating theories, and adding critical rigor to the cyber security field. This book shows how to develop a research plan, beginning by starting research with a question, then offers an introduction to the broad range of useful research methods for cyber security research: observational, mathematical, experimental, and applied. Each research method chapter concludes with recommended outlines and suggested templates for submission to peer reviewed venues. This book concludes with information on cross-cutting issues within cyber security research. Cyber security research contends with numerous unique issues, such as an extremely fast environment evolution, adversarial behavior, and the merging of natural and social science phenomena. Research Methods for Cyber Security addresses these concerns and much more by teaching readers not only the process of science in the context of cyber security research, but providing assistance in execution of research as well. - Presents research methods from a cyber security science perspective - Catalyzes the rigorous research necessary to propel the cyber security field forward - Provides a guided method selection for the type of research being conducted, presented in the context of real-world usage

Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives. Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existing methods of cybersecurity and the need to develop new and better ones. This book brings together experts from across MIT to explore recent advances in cybersecurity from management, technical, and sociological perspectives. Leading researchers from MIT's Computer Science & Artificial Intelligence Lab, the MIT Media Lab, MIT Sloan School of Management, and MIT Lincoln Lab, along with their counterparts at Draper Lab, the University of Cambridge, and SRI, discuss such varied topics as a systems perspective on managing risk, the development of inherently secure hardware, and the Dark Web. The contributors suggest approaches that range from the market-driven to the theoretical, describe problems that arise in a decentralized, IoT world, and reimagine what optimal systems architecture and effective management might look like. Contributors YNadav Aharon, Yaniv Altshuler, Manuel Cebrian, Nazli Choucri, André DeHon, Ryan Ellis, Yuval Elovici, Harry Halpin, Thomas Hardjono, James Houghton, Keman Huang, Mohammad S. Jalali, Priscilla Koepke, Yang Lee, Stuart Madnick, Simon W. Moore, Katie Moussouris, Peter G. Neumann, Hamed Okhravi, Jothy Rosenberg, Hamid Salim,Michael Siegel, Diane Strong, Gregory T. Sullivan, Richard Wang, Robert N. M. Watson, Guy Zyskind An MIT Connection Science and Engineering Book

"This book provides a valuable resource by addressing the most pressing issues facing cyber-security from both a national and global perspective"--Provided by publisher.

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

This handbook offers insights into how science (physical, natural and social) and technology can support new developments to manage the complexity resident within the threat and risk landscape. The security landscape can be described as dynamic and complex stemming from the emerging threats and risks that are both persistent and transborder. Globalization, climate change, terrorism, transnational crime can have significant societal impact and forces one to re-evaluate what ‘national security’ means. Recent global events such as mass migration, terrorist acts, pandemics and cyber threats highlight the inherent vulnerabilities in our current security posture. As an interdisciplinary body of work, the Handbook of Security Science captures concepts, theories and security science applications, thereby providing a survey of current and emerging trends in security. Through an evidence-based approach, the collection of chapters in the book delivers insightful and comprehensive articulation of the problem and solution space associated with the complex security landscape. In so doing the Handbook of Security Science introduces scientific tools and methodologies to inform security management, risk and resilience decision support systems; insights supporting design of security solutions; approaches to threat, risk and vulnerability analysis; articulation of advanced cyber security solutions; and current developments with respect to integrated computational and analytical solutions that increase our understanding of security physical, social, economic, and technological interrelationships and problem space.

Drawing upon a wealth of experience from academia, industry, and government service, Cyber Security Policy Guidebook details and dissects, in simple language, current organizational cyber security policy issues on a global scale—taking great care to educate readers on the history and current approaches to the security of cyberspace. It includes thorough descriptions—as well as the pros and cons—of a plethora of issues, and documents policy alternatives for the sake of clarity with respect to policy alone. The Guidebook also delves into organizational implementation issues, and equips readers with descriptions of the positive and negative impact of specific policy choices. Inside are detailed chapters that: Explain what is meant by cyber security and cyber security policy Discuss the process by which cyber security policy goals are set Educate the reader on decision-making processes related to cyber security Describe a new framework and taxonomy for explaining cyber security policy issues Show how the U.S. government is dealing with cyber security policy issues With a glossary that puts cyber security language in layman's terms—and diagrams that help explain complex topics—Cyber Security Policy Guidebook gives students, scholars, and technical decision-makers the necessary knowledge to make informed decisions on cyber security policy.

Cybersecurity experts from across industries and sectors share insights on how to think like scientists to master cybersecurity challenges Humankind’s efforts to explain the origin of the cosmos birthed disciplines such as physics and chemistry. Scientists conceived of the cosmic ‘Big Bang’ as an explosion of particles—everything in the universe centered around core elements and governed by laws of matter and gravity. In the modern era of digital technology, we are experiencing a similar explosion of ones and zeros, an exponentially expanding universe of bits of data centered around the core elements of speed and connectivity. One of the disciplines to emerge from our efforts to make sense of this new universe is the science of cybersecurity. Cybersecurity is as central to the Digital Age as physics and chemistry were to the Scientific Age. The Digital Big Bang explores current and emerging knowledge in the field of cybersecurity, helping readers think like scientists to master cybersecurity principles and overcome cybersecurity challenges. This innovative text adopts a scientific approach to cybersecurity, identifying the science’s fundamental elements and examining how these elements intersect and interact with each other. Author Phil Quade distills his over three decades of cyber intelligence, defense, and attack experience into an accessible, yet detailed, single-volume resource. Designed for non-specialist business leaders and cybersecurity practitioners alike, this authoritative book is packed with real-world examples, techniques, and strategies no organization should be without. Contributions from many of the world’s leading cybersecurity experts and policymakers enable readers to firmly grasp vital cybersecurity concepts, methods, and practices. This important book: Guides readers on both fundamental tactics and advanced strategies Features observations, hypotheses, and conclusions on a wide range of cybersecurity issues Helps readers work with the central elements of cybersecurity, rather than fight or ignore them Includes content by cybersecurity leaders from organizations such as Microsoft, Target, ADP, Capital One, Verisign, AT&T, Samsung, and many others Offers insights from national-level security experts including former Secretary of Homeland Security Michael Chertoff and former Director of National Intelligence Mike McConnell The Digital Big Bang is an invaluable source of information for anyone faced with the challenges of 21st century cybersecurity in all industries and sectors, including business leaders, policy makers, analysts and researchers as well as IT professionals, educators, and students.

This book is a provocative manifesto of disruptive thinking about cyber security. It presents cutting-edge thinking and professional reflection and is designed to be a source of ideas and approaches that can be adopted for application in the real world by those who recognize that conventional ways of defining and considering cyber-attack are insufficient. All of the authors believe that the term cyber must be urgently wrestled back from the technologists, cyber security professionals, consultancies and corporate silos that have hijacked it (seemingly without any resistance) and rendered the term essentially meaningless. The authors write from applied and often unique experiences in a range of commercial, consulting, state and defense environments. Many of the authors of this volume have direct experience of inflicting, reporting on and protecting organizations from such effects, and also have knowledge of taking the challenge to additional levels. Most consultancies, academics and experts dont live in the real world, are content with operating in the commoditised world of cyber-technical security and dont have the intellectual capacity to understand, engage with or monetize this more challenging reality. This book is intended to help organizations improve preparedness for the established cyber world reality.