Titlebook: Cyber-Physical Systems Security; ?etin Kaya Ko? Book 2018 Springer Nature Switzerland AG 2018 Cyber-physical Systems (CPS).Critical Infras

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Automatic Application of Software Countermeasures Against Physical Attacks,easures, as well as the interactions between countermeasures and compiler optimisations. Going one step further, we encourage future works to imagine how compilation could be modified or redesigned to optimise both performance and security.

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Reinforcement Learning and Trustworthy Autonomy, the reader through the necessary steps for creating a drone simulation environment suitable for experimenting with vision-based reinforcement learning. We also explore how existing vision-oriented deep learning analysis methods may be applied toward safety verification in vision-based reinforcement learning applications.

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Embedded Classifiers for Energy-Constrained IoT Network Security,east a factor of 1000 improvement in computational energy efficiency empowering a new generation of local computational structures for embedded IoT devices. These techniques offer computational capability to address network security concerns.

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Book 2018s, 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 unde

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Approximate Computing and Its Application to Hardware Security,n hiding behind a newly proposed approximate data format. This approach of applying approximate computing in security is interesting and promising in the Internet of things (IoT) domain where the devices are extremely resource constrained and cannot afford conventional cryptographic solutions to pro

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Attack Tree Construction and Its Application to the Connected Vehicle,h are used to estimate the overall risk of the system. Consequently, it becomes possible to study improvements while building a more secure architecture. The proposed method is designed to support the conceptual phase of the vehicle’s cyber-physical system. We illustrate the method on a small pedago

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Identifier Randomization: An Efficient Protection Against CAN-Bus Attacks,y that both sender and receiver can recover the original message identifier but not the adversary. We present the main challenges of the CAN-ID randomization solution, we highlight the weaknesses of state-of-the-art solutions presented in other scientific papers, and we propose and study candidate s