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Titlebook: Artificial Intelligence for Cyber-Physical Systems Hardening; Issa Traore,Isaac Woungang,Sherif Saad Book 2023 The Editor(s) (if applicabl

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發(fā)表于 2025-3-21 17:43:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Cyber-Physical Systems Hardening
影響因子2023Issa Traore,Isaac Woungang,Sherif Saad
視頻videohttp://file.papertrans.cn/163/162363/162363.mp4
發(fā)行地址Focuses on the applications of AI in hardening CPS against conventional and unconventional attack vectors.Covers diverse methods or hardening software, hardware, firmware, infrastructure, and communic
學(xué)科分類Engineering Cyber-Physical Systems and Critical Infrastructures
圖書封面Titlebook: Artificial Intelligence for Cyber-Physical Systems Hardening;  Issa Traore,Isaac Woungang,Sherif Saad Book 2023 The Editor(s) (if applicabl
影響因子.This book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field...Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making..This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff.
Pindex Book 2023
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A Collection of Datasets for Intrusion Detection in MIL-STD-1553 Platforms,of defense platforms. At its inception, the standard was conceived with a focus only on reliability and fault tolerance, with no attention paid to security concerns. However, it has been shown in the last few years that modern defense platforms are increasingly the target of cyber-attacks from both
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Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driill be deployed on radio frequency (RF)- based networks. As such, society will be heavily dependent on the ability to protect these new wireless networks as well as the radio spectrum. Solutions such as artificial intelligence (AI)-based transmitter fingerprinting to identify and track unintended in
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Security and Privacy of IoT Devices for Aging in Place,lve this issue using emerging technologies centered around smart IoT devices. To ensure security and privacy for a smart home for aging in place, different aspects of the IoT devices have to be considered. This chapter seeks to provide a categorical review and analysis of age-tech IoT device technol
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Detecting Malicious Attacks Using Principal Component Analysis in Medical Cyber-Physical Systems,lso paved a way for a large number of cybercriminal activities targeting these networked devices, raising serious security and privacy concerns when healthcare professionals deal with sensitive and life-critical medical information. Existing security solutions in this domain are mainly prevention-ba
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,Activity and?Event Network Graph and?Application to?Cyber-Physical Security,information about the operations of networked systems and data centers. The model allows identifying long-term and stealthy attack patterns, which may be difficult to capture using traditional approaches. The current chapter focuses on defining the model elements and the underlying graph constructio
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