Cyber-Physical Systems Security [[electronic resource] /] / edited by Çetin Kaya Koç

• Record Nr.: UNINA9910303454803321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• ISBN: 3-319-98935-9
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (347 pages)
• Disciplina: 006.22
• Soggetti: Data structures (Computer science); Data protection; Public safety; System safety; Data Structures and Information Theory; Security; Crime Control and Security; Security Science and Technology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Robust Digital Computation in the Physical World -- Constraint-Based Framework for Reasoning with Differential Equations -- Approximate Computing and Its Application to Hardware Security -- Mathematical Optimizations for Deep Learning -- A Zero-Entry Cyber Range Environment for Future Learning Ecosystems -- Parallel Programming in Cyber-Physical Systems -- Automatic Application of Software Countermeasures Against Physical Attacks -- Time-Delay Attacks in Network Systems -- Attack Tree Construction and Its Application to the Connected Vehicle -- Reinforcement Learning and Trustworthy Autonomy -- Identifier Randomization: An Efficient Protection Against CAN-Bus Attacks -- Public-Key-Based Lightweight Swarm Authentication -- Physical Security Versus Masking Schemes -- Embedded Classifiers for Energy Constrained IoT Network Security -- Challenges in Cyber Security: Ransomware Phenomenon -- Applying Model-Based Situational Awareness and Augmented Reality to Next-; Generation Physical Security Systems.
• Sommario/riassunto: The chapters in this book present the work of researchers, scientists, engineers, and teachers engaged with developing unified foundations, principles, and technologies for cyber-physical security. They adopt a multidisciplinary approach to solving related problems in next-generation systems, representing views from academia, government bodies, and industrial partners, and their contributions discuss current work on modeling, analyzing, and understanding cyber-physical systems.