Security of Biochip Cyberphysical Systems / by Shayan Mohammed, Sukanta Bhattacharjee, Yong-Ak Song, Krishnendu Chakrabarty, Ramesh Karri
By: Mohammed, Shayan, autor
Contributor(s): Bhattacharjee, Sukanta, autor
| Song, Yong-Ak, autor
| Chakrabarty, Krishnendu, autor
| Karri, Ramesh, autor
Material type:
E-bookPublisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XV, 125 páginas) : 63 ilustraciones, 58 ilustraciones a color.ISBN: 9783030932749.Subject: Ordenadores personales
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK7895 .E42 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.28102253 |
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| TK7895.E42 2022 EB IoT and Smart Devices for Sustainable Environment | TK7895.E42 2022 EB SoC Physical Design A Comprehensive Guide / | TK7895 .E42 2022 EB Cyber-Physical Systems: Modelling and Industrial Application | TK7895 .E42 2022 EB Security of Biochip Cyberphysical Systems | TK7895 .E42 2022 EB Cyber-Physical Systems: Intelligent Models and Algorithms | TK7895.E42 2022 EB Machine Learning for Embedded System Security | TK7895.E42 2022 EB Artificial Intelligence Driven Circuits and Systems : Select Proceedings of ISED 2021 |
Introduction -- Threat landscape -- Architecture for Security -- Tools for Security -- Watermarking of Bio-IP -- Obfuscation of Bio-IP -- Conclusion.
This book provides readers with a valuable guide to understanding security and the interplay of computer science, microfluidics, and biochemistry in a biochip cyberphysical system (CPS). The authors uncover new, potential threat and trust-issues to address, as this emerging technology is poised to be adapted at a large scale. Readers will learn how to secure biochip CPS by leveraging the available resources in different application contexts, as well as how to ensure intellectual property (IP) is protected against theft and counterfeits. This book enables secure biochip CPS design by helping bridge the knowledge gap at the intersection of the multi-disciplinary technology that drives biochip CPS. Provides tools for security analysis and verification: a machine learning (ML) framework; Paints the threat landscape of the biochip CPS, describing the threat models - the who, the how, and the why; Uses real case studies to describe models of tampering attack, microfluidic trojan attack.
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