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Titlebook: AI Embedded Assurance for Cyber Systems; Cliff Wang,S.S. Iyengar,Kun Sun Book 2023 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 17:46:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱AI Embedded Assurance for Cyber Systems
影響因子2023Cliff Wang,S.S. Iyengar,Kun Sun
視頻videohttp://file.papertrans.cn/143/142781/142781.mp4
發(fā)行地址Provides guidance on how to explore the cutting-edge AI/ML applications in digital forensics.Reveals the significant impact AI/ML on strengthening the security and privacy of cyber physical systems.An
圖書封面Titlebook: AI Embedded Assurance for Cyber Systems;  Cliff Wang,S.S. Iyengar,Kun Sun Book 2023 The Editor(s) (if applicable) and The Author(s), under
影響因子.The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed?to protect against cyber threats and ensure the security and reliability of digital systems using artificial intelligence (AI) technologies. As AI becomes more integrated into various aspects of our lives, the need?for reliable and trustworthy AI systems becomes increasingly important. This book is an introduction to all of the above-mentioned areas in the context of AI Embedded Assurance for Cyber Systems..This book has three themes. First, the AI/ML for digital forensics theme focuses on developing AI and ML powered forensic tools, techniques, software, and hardware. Second, the AI/ML for cyber physical system theme describes that AI/ML plays an enabling role to boost the development of cyber physical systems (CPS), especially in strengthening the security and privacy ofCPS. Third, the AI/ML for cyber analysis theme focuses on using AI/ML to analyze tons of data in a timely manner and identify many complex threat patterns...This book is designed for undergraduates, graduate students i
Pindex Book 2023
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發(fā)表于 2025-3-21 23:47:32 | 只看該作者
978-3-031-42639-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 00:57:45 | 只看該作者
Cliff Wang,S.S. Iyengar,Kun SunProvides guidance on how to explore the cutting-edge AI/ML applications in digital forensics.Reveals the significant impact AI/ML on strengthening the security and privacy of cyber physical systems.An
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,Field Problems—Analytical Solutions,plays an important role in an enormous number of application fields such as banking, legal documenting, business trading/contracting, forensic document examination, etc. Therefore, there is a need to call for a working solution that provides an automatic off-line signature verification. This chapter
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Applied Electromagnetism and Materialsificantly changed the landscape in terms of the tools that activists use and the extent of the legal and infrastructural power that nation states have over activists. For instance, political activists denouncing and fighting against oppressive regimes incorporate technology in their daily activities
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Applied Electromagnetism and Materialses and power electronics components imposes threats to cyber-physical power system (CPPS) security. The majority of the current countermeasures are based on physical analysis and modeling, which are not effective to handle the increased system complexity and uncertainty. On the other hand, machine l
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Introduction to Nonlinear Effects,air) them. Data-driven approaches, especially those based on machine/deep learning (ML/DL), have demonstrated a great potential to that end. To achieve practical efficacy, these approaches rely on a large number of training samples. However, currently such samples, especially those that are known as
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