Deception in Autonomous Transport Systems
Author : Simon Parkinson
Publisher : Springer Nature
Page : 196 pages
File Size : 21,69 MB
Release :
Category :
ISBN : 3031550447
Author : Simon Parkinson
Publisher : Springer Nature
Page : 196 pages
File Size : 21,69 MB
Release :
Category :
ISBN : 3031550447
Author : Ehab Al-Shaer
Publisher : Springer
Page : 237 pages
File Size : 38,65 MB
Release : 2019-01-02
Category : Computers
ISBN : 3030021106
This textbook surveys the knowledge base in automated and resilient cyber deception. It features four major parts: cyber deception reasoning frameworks, dynamic decision-making for cyber deception, network-based deception, and malware deception. An important distinguishing characteristic of this book is its inclusion of student exercises at the end of each chapter. Exercises include technical problems, short-answer discussion questions, or hands-on lab exercises, organized at a range of difficulties from easy to advanced,. This is a useful textbook for a wide range of classes and degree levels within the security arena and other related topics. It’s also suitable for researchers and practitioners with a variety of cyber security backgrounds from novice to experienced.
Author : Quanyan Zhu
Publisher : Springer Nature
Page : 212 pages
File Size : 21,80 MB
Release : 2020-11-16
Category : Computers
ISBN : 3030602516
This book introduces a cross-layer design to achieve security and resilience for CPSs (Cyber-Physical Systems). The authors interconnect various technical tools and methods to capture the different properties between cyber and physical layers. Part II of this book bridges the gap between cryptography and control-theoretic tools. It develops a bespoke crypto-control framework to address security and resiliency in control and estimation problems where the outsourcing of computations is possible. Part III of this book bridges the gap between game theory and control theory and develops interdependent impact-aware security defense strategies and cyber-aware resilient control strategies. With the rapid development of smart cities, there is a growing need to integrate the physical systems, ranging from large-scale infrastructures to small embedded systems, with networked communications. The integration of the physical and cyber systems forms Cyber-Physical Systems (CPSs), enabling the use of digital information and control technologies to improve the monitoring, operation, and planning of the systems. Despite these advantages, they are vulnerable to cyber-physical attacks, which aim to damage the physical layer through the cyber network. This book also uses case studies from autonomous systems, communication-based train control systems, cyber manufacturing, and robotic systems to illustrate the proposed methodologies. These case studies aim to motivate readers to adopt a cross-layer system perspective toward security and resilience issues of large and complex systems and develop domain-specific solutions to address CPS challenges. A comprehensive suite of solutions to a broad range of technical challenges in secure and resilient control systems are described in this book (many of the findings in this book are useful to anyone working in cybersecurity). Researchers, professors, and advanced-level students working in computer science and engineering will find this book useful as a reference or secondary text. Industry professionals and military workers interested in cybersecurity will also want to purchase this book.
Author : William Lawless
Publisher : Academic Press
Page : 448 pages
File Size : 10,17 MB
Release : 2020-06-10
Category : Computers
ISBN : 0128223790
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of "shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. - Discusses the foundations, metrics, and applications of human-machine systems - Considers advances and challenges in the performance of autonomous machines and teams of humans - Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Author : Qinglong Han
Publisher : Springer Nature
Page : 841 pages
File Size : 35,14 MB
Release : 2021-10-22
Category : Computers
ISBN : 981167213X
The three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.
Author : Hui Zhang
Publisher : Elsevier
Page : 316 pages
File Size : 19,62 MB
Release : 2024-08-13
Category : Technology & Engineering
ISBN : 0443298580
Vehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability allows many cars or trucks to accelerate or brake simultaneously. It also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction. The book considers the key issues of robustness and cybersecurity, with optimization-based model predictive control schemes applied to control vehicle platoon.In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes. - Provides a comprehensive introduction to the state-of-the-art development of connected and automated vehicular platoon systems - Covers the advanced, robust and stochastic model predictive control algorithm design methods for constraint handling and robustness improvement - Introduces rigorous theoretical stability analysis from the robust tube-based distributedMPC (Model Predictive Control) and stochastic tube-based distributed MPC perspectives - Offers various filter-based inter-vehicle attack detection methods and event-based resilient vehicle platoon control design methods
Author : Charles A. Kamhoua
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 40,69 MB
Release : 2021-09-15
Category : Technology & Engineering
ISBN : 1119723922
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.
Author : Stefan Sarkadi
Publisher : Springer Nature
Page : 182 pages
File Size : 45,61 MB
Release : 2021-12-02
Category : Computers
ISBN : 3030917797
This book constitutes selected papers presented at the First International Workshop on Deceptive AI, DeceptECAI 2020, held in conjunction with the 24th European Conference on Artificial Intelligence, ECAI 2020, in Santiago de Compostela, Spain, in August 2020, and Second International Workshop on Deceptive AI, DeceptAI 2021, held in conjunction with the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, in Montreal, Canada, in August 2021. Due to the COVID-19 pandemic both conferences were held in a virtual mode. The 12 papers presented were thoroughly reviewed and selected from the 16 submissions. They present recent developments in the growing area of research in the interface between deception and AI.
Author : National Research Council
Publisher : National Academies Press
Page : 103 pages
File Size : 25,11 MB
Release : 2000-12-14
Category : Technology & Engineering
ISBN : 0309071380
This review of the Science and Technology (S&T) program of the Office of Naval Research's (ONR's) Expeditionary Warfare Operations Technology Division, Code 353, comes at a time of considerable change in the Marine Corps and in ONR, which are currently in the midst of significant transitions. The Marine Corps is making plans to equip and train for engaging in a new style of warfare known as Operational Maneuver From the Sea (OMFTS) and for performing a wide variety of missions in urban settings, ranging from humanitarian assistance to combat and mixes of these suggested by the term three-block war. During 1999, ONR assumed management of that portion of the Marine Corps S&T program that had not been assigned several years earlier to the Marine Corps Warfighting Laboratory (MCWL). In 2002, control of most of ONR's advanced development funding (6.3), and of much of its exploratory development funding (6.2), will move from ONR's line divisions, of which Code 353 is one of many, to 12 new program offices, each dedicated to demonstrating technologies for future naval capabilities (FNCs). Given these changes, it is not surprising that some of the projects inherited recently by ONR, and assessed by the Committee for the Review of ONR's Marine Corps Science and Technology Program under the auspices of the Naval Studies Board of the National Research Council, differed from the customary ONR project and were more akin to preacquisition or acquisition support than to S&T. It is also not surprising that Code 353 could not articulate its plans for future investments clearly and concisely, given the current uncertainty about the content of and funding level for FNCs. The Marine Corps S&T program supports the five imperatives for technology advancement that the Marine Corps Combat Development Command (MCCDC) has identified as prerequisites for the transition to OMFTS: maneuver, firepower, logistics, training and education, and command and control. The committee supports investment in these areas and, in the report's discussions and recommendations, follows the five imperatives.
Author : Kasap, Atilla
Publisher : Edward Elgar Publishing
Page : 215 pages
File Size : 25,44 MB
Release : 2022-10-11
Category : Law
ISBN : 1803924438
Delving deep into the emerging international and federal statutory and legislative developments surrounding Autonomous Vehicle (AV) technologies, Atilla Kasap assesses whether current motor vehicle regulations, liability law and the liability insurance system are fit for purpose today and in the future.