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Hot Topics in Science of Security: Symposium and Bootcamp Apr 04, 2017-Apr 05, 2017 Hanover, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
The Handbook of Financial Cryptography and Security elucidates the theory and techniques of cryptography and illustrates how to establish and maintain security under the framework of financial cryptography. It applies various cryptographic techniques to auctions, electronic voting, micropayment systems, digital rights, financial portfolios, routing
Cyber-attacks continue to rise as more individuals rely on storing personal information on networks. Even though these networks are continuously checked and secured, cybercriminals find new strategies to break through these protections. Thus, advanced security systems, rather than simple security patches, need to be designed and developed. Exploring Security in Software Architecture and Design is an essential reference source that discusses the development of security-aware software systems that are built into every phase of the software architecture. Featuring research on topics such as migration techniques, service-based software, and building security, this book is ideally designed for computer and software engineers, ICT specialists, researchers, academicians, and field experts.
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
This book is centered on Smart grids and micro-grids, as a cost-effective method of ensuring fair and equitable access to power in urban areas. It also considers scenarios where deploying smart grids can be both cost-prohibitively expensive and logistically challenging. Deploying smart microgrids instead, offers a reliable power solution but, as is the case in smart grids, a key issue is guaranteeing usability, trust, and reliability while protecting against energy theft. This book considers aspects such as state estimation, capacity planning, demand forecasting, price signals, and demand management with respect to energy theft. Straight-forward approaches to provoking energy theft on smart grids and micro-grids include mis-recordings power consumption/generation information and exposures of personally identifiable information or sensitive information. Attack models based on mis-recorded generation and/or consumption data and exposure of personally identifiable information, are also studied. In each case, countermeasures are proposed to circumvent the power theft attacks raised. Researchers in Smart Micro-grids security, cyber-physical systems, and critical infrastructure will want to purchase this book as a reference. Professionals, Researchers, Academics and students working in security general and Security of Critical Infrastructure, Privacy, and Data Sharing will also want to purchase this book as a reference.
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 book discusses and summarizes current research issues, identifies challenges, and outlines future directions for proactive and dynamic network defense. This book also presents the latest fundamental research results toward understanding proactive and dynamic network defense by top researchers in related areas. It includes research results that offer formal frameworks to define proactive and dynamic network defense, and develop novel models to analyze and evaluate proactive designs and strategies in computer systems, network systems, cyber-physical systems and wireless networks. A wide variety of scientific techniques have been highlighted to study these problems in the fundamental domain. As the convergence of our physical and digital worlds grows fast pace, protecting information systems from being tampered or unauthorized access is becoming one of the most importance issues. The traditional mechanisms of network defense are built upon a static, passive, and reactive nature, which has insufficient to defend against today's attackers that attempt to persistently analyze, probe, circumvent or fool such mechanisms. It has not yet been fully investigated to address the early stage of “cyber kill chain” when adversaries carry out sophisticated reconnaissance to plan attacks against a defense system. Recently, proactive and dynamic network defense has been proposed as an important alternative towards comprehensive network defense. Two representative types of such defense are moving target defense (MTD) and deception-based techniques. These emerging approaches show great promise to proactively disrupt the cyber-attack kill chain and are increasingly gaining interest within both academia and industry. However, these approaches are still in their preliminary design stage. Despite the promising potential, there are research issues yet to be solved regarding the effectiveness, efficiency, costs and usability of such approaches. In addition, it is also necessary to identify future research directions and challenges, which is an essential step towards fully embracing proactive and dynamic network defense. This book will serve as a great introduction for advanced-level computer science and engineering students who would like to start R&D efforts in the field of proactive and dynamic network defense. Researchers and professionals who work in this related field will also find this book useful as a reference.
An essential guide to the modeling and design techniques for securing systems that utilize the Internet of Things Modeling and Design of Secure Internet of Things offers a guide to the underlying foundations of modeling secure Internet of Things' (IoT) techniques. The contributors—noted experts on the topic—also include information on practical design issues that are relevant for application in the commercial and military domains. They also present several attack surfaces in IoT and secure solutions that need to be developed to reach their full potential. The book offers material on security analysis to help with in understanding and quantifying the impact of the new attack surfaces introduced by IoT deployments. The authors explore a wide range of themes including: modeling techniques to secure IoT, game theoretic models, cyber deception models, moving target defense models, adversarial machine learning models in military and commercial domains, and empirical validation of IoT platforms. This important book: Presents information on game-theory analysis of cyber deception Includes cutting-edge research finding such as IoT in the battlefield, advanced persistent threats, and intelligent and rapid honeynet generation Contains contributions from an international panel of experts Addresses design issues in developing secure IoT including secure SDN-based network orchestration, networked device identity management, multi-domain battlefield settings, and smart cities Written for researchers and experts in computer science and engineering, Modeling and Design of Secure Internet of Things contains expert contributions to provide the most recent modeling and design techniques for securing systems that utilize Internet of Things.
This book constitutes the refereed proceedings of six International Workshops that were held in conjunction with the 26th European Symposium on Research in Computer Security, ESORICS 2021, which took place during October 4-6, 2021. The conference was initially planned to take place in Darmstadt, Germany, but changed to an online event due to the COVID-19 pandemic. The 32 papers included in these proceedings stem from the following workshops: the 7th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2021, which accepted 7 papers from 16 submissions; the 5th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2021, which accepted 5 papers from 8 submissions; the 4th International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2021, which accepted 6 full and 1 short paper out of 15 submissions; the 3rd Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2021, which accepted 5 full and 1 short paper out of 13 submissions. the 2nd Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2021, which accepted 3 full and 1 short paper out of 6 submissions; and the 1st International Workshop on Cyber Defence Technologies and Secure Communications at the Network Edge, CDT & SECOMANE 2021, which accepted 3 papers out of 7 submissions. The following papers are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com: Why IT Security Needs Therapy by Uta Menges, Jonas Hielscher, Annalina Buckmann, Annette Kluge, M. Angela Sasse, and Imogen Verret Transferring Update Behavior from Smartphones to Smart Consumer Devices by Matthias Fassl, Michaela Neumayr, Oliver Schedler, and Katharina Krombholz Organisational Contexts of Energy Cybersecurity by Tania Wallis, Greig Paul, and James Irvine SMILE - Smart eMaIl Link domain Extractor by Mattia Mossano, Benjamin Berens, Philip Heller, Christopher Beckmann, Lukas Aldag, Peter Mayer, and Melanie Volkamer A Semantic Model for Embracing Privacy as Contextual Integrity in the Internet of Things by Salatiel Ezennaya-Gomez, Claus Vielhauer, and Jana Dittmann Data Protection Impact Assessments in Practice - Experiences from Case Studies by Michael Friedewald, Ina Schiering, Nicholas Martin, and Dara Hallinan
This proceedings volume highlights the role and importance of Operational Research (OR) in the digital era and the underlying ICT challenges. The selected papers cover recent advances in all branches of operational research, mathematical modeling and decision making. It covers a wide range of key areas from digital economy, to supply chain management, and also finance. The book adopts an applied perspective that covers the contributions of OR in the broad field of business and economics linked with the discipline of computer science. The chapters are based on papers presented at the 6th International Symposium & 28th National Conference on Operational Research. Although the conference is organized by the Hellenic Operational Research Society (HELORS), the contributions in this book promotes international co-operation among researchers and practitioners working in the field.