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Titlebook: Split Manufacturing of Integrated Circuits for Hardware Security and Trust; Methods, Attacks and Ranga Vemuri,Suyuan Chen Book 2021 The Edi

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書(shū)目名稱Split Manufacturing of Integrated Circuits for Hardware Security and Trust
副標(biāo)題Methods, Attacks and
編輯Ranga Vemuri,Suyuan Chen
視頻videohttp://file.papertrans.cn/875/874540/874540.mp4
概述Provides the first book on Split Manufacturing methods, attacks and defenses for integrated circuits.Serves as single-source reference to all advances to-date on split manufacturing methods and design
圖書(shū)封面Titlebook: Split Manufacturing of Integrated Circuits for Hardware Security and Trust; Methods, Attacks and Ranga Vemuri,Suyuan Chen Book 2021 The Edi
描述.Globalization of the integrated circuit (IC) supply chains led to many potential vulnerabilities. Several attack scenarios can exploit these vulnerabilities to reverse engineer IC designs or to insert malicious trojan circuits. ..Split manufacturing refers to the process of splitting an IC design into multiple parts and fabricating these parts at two or more foundries such that the design is secure even when some or all of those foundries are potentially untrusted. Realizing its security benefits, researchers have proposed split fabrication methods for 2D, 2.5D, and the emerging 3D ICs. Both attack methods against split designs and defense techniques to thwart those attacks while minimizing overheads have steadily progressed over the past decade...This book presents a comprehensive review of the state-of-the-art and emerging directions in design splitting for secure split fabrication, design recognition and recovery attacks against split designs, and design techniquesto defend against those attacks. Readers will learn methodologies for secure and trusted IC design and fabrication using split design methods to protect against supply chain vulnerabilities. .
出版日期Book 2021
關(guān)鍵詞Hardware Security and Trust; Hardware Trojan; Secure Integrated Circuit Design; Counterfeit Integrated
版次1
doihttps://doi.org/10.1007/978-3-030-73445-9
isbn_softcover978-3-030-73447-3
isbn_ebook978-3-030-73445-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Ranga Vemuri,Suyuan Chennd topics in optimization and approximation relevant to machine learning. Ultimately, it seeks to clarify issues in numerical analysis in the context of applications, and presenting accessible methods to students in mathematics and data science.?.978-3-031-08123-1978-3-031-08121-7Series ISSN 2730-650X Series E-ISSN 2730-6518
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