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Cognitive Security

A System-Scientific Approach

  • Book
  • © 2023

Overview

Authors:
  1. Linan Huang

    1. New York University, Brooklyn, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Quanyan Zhu

    1. New York University, Brooklyn, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • This book presents the latest research in cognitive security
  • This book offers solutions that work across different fields
  • This book provides a self-contained and brief overview of essential system-scientific tools

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction

    • Linan Huang, Quanyan Zhu
    Pages 1-25

  3. System-Scientific Methods

    • Linan Huang, Quanyan Zhu
    Pages 27-39

  4. Cognitive Capacities for Designing, Operating, Supervising, and Securing Complex Systems

    • Linan Huang, Quanyan Zhu
    Pages 41-48

  5. Review of System-Scientific Perspectives for Analysis, Exploitation, and Mitigation of Cognitive Vulnerabilities

    • Linan Huang, Quanyan Zhu
    Pages 49-65

  6. ADVERT: Defending against Reactive Attention Attacks

    • Linan Huang, Quanyan Zhu
    Pages 67-83

  7. RADAMS: Defending Against Proactive Attention Attacks

    • Linan Huang, Quanyan Zhu
    Pages 85-99

  8. Summary and Conclusions

    • Linan Huang, Quanyan Zhu
    Pages 101-110
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Keywords

About this book

This book presents the latest research in cognitive security, a rapidly emerging field that addresses the vulnerabilities in human behavior and cognition that can lead to Cyber-Physical Systems (CPS) compromise. This book demonstrates that as adversaries increasingly use manipulative and deceptive information to disrupt human cognitive processes, including sensation, attention, memory, and mental operations, humans are misled into fallacious reasoning and manipulated decisions that can lead to system-level meltdown. Cognitive security aims to protect humans from the exploitation of cognitive vulnerabilities, help them make informed decisions that are free from manipulation and undue influence, and mitigate the aggravating risk in the ensuing steps of the attacker’s kill chain.

This book offers solutions that work across different fields, such as psychology, neuroscience, data science, social science, and game theory, to deal with cognitive threats. It guides the reader through the core ideas with figures, real-life examples, and case studies. Moreover, it formally defines all research questions, presents the results using mathematical theorems and proofs, and obtains insights through numerical validation.

This book provides a self-contained and brief overview of essential system-scientific tools for modeling, analyzing, and mitigating cognitive vulnerabilities. The concepts of human cognitive capacities and cognitive vulnerabilities are formally discussed, followed by two case studies in the scenarios of reactive and proactive attention vulnerabilities. This book provides insights and applications on this transdisciplinary topic, with the goal of motivating future research in this emerging area and pushing the frontier of human-technology convergence. This book is a valuable reference for researchers and advanced-level students studying or working in cognitive security and related fields. It is also useful for decision-makers, managers, and professionals working within these related fields.

Authors and Affiliations

  • New York University, Brooklyn, USA

    Linan Huang, Quanyan Zhu

About the authors

​Linan Huang received the B.Eng. degree (Hons.) in Electrical Engineering from Beijing Institute of Technology, China, in 2016 and the Ph.D. degree in electrical engineering from New York University (NYU), Brooklyn, NY, USA, in 2022. He is currently an assistant researcher at Tsinghua University. He is a recipient of many awards, including the 2022 Dante Youla Award for graduate research excellence, the best paper award at the 2022 GameSec conference, and the 2022 INFORMS MAS Koopman Prize. His research interests include dynamic decision-making in the multi-agent system, mechanism design, artificial intelligence, security, and resilience for cyber-physical systems.Quanyan Zhu received B. Eng. in Honors Electrical Engineering from McGill University in 2006, M. A. Sc. from the University of Toronto in 2008, and Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) in 2013. After stints at Princeton University, he is currently an associate professor atthe Department of Electrical and Computer Engineering, New York University (NYU). He is an affiliated faculty member of the Center for Urban Science and Progress (CUSP) and Center for Cyber Security (CCS) at NYU. He is a recipient of many awards, including NSF CAREER Award, NYU Goddard Junior Faculty Fellowship, NSERC Postdoctoral Fellowship (PDF), NSERC Canada Graduate Scholarship (CGS), and Mavis Future Faculty Fellowships. He spearheaded and chaired INFOCOM Workshop on Communications and Control on Smart Energy Systems (CCSES), Midwest Workshop on Control and Game Theory (WCGT), and ICRA workshop on Security and Privacy of Robotics. His current research interests include game theory, machine learning, cyber deception, network optimization and control, smart cities, Internet of Things, and cyber-physical systems. He has served as the general chair or the TPC chair of the 7th and the 11thConference on Decision and Game Theory for Security (GameSec) in 2016 and 2020, the 9th International Conference on NETwork Games, COntrol and OPtimisation (NETGCOOP) in 2018, the 5th International Conference on Artificial Intelligence and Security (ICAIS 2019) in 2019, and 2020 IEEE Workshop on Information Forensics and Security (WIFS). He is a co-author of four recent books published by Springer: Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach (with S. Rass, S. Schauer, and S. König), A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design (with J. Chen), Cross-Layer Design for Secure and Resilient Cyber-Physical Systems: A Decision and Game Theoretic Approach(with Z. Xu), Game Theory for Cyber Deception (with J. Pawlick).

Bibliographic Information

  • Book Title: Cognitive Security

  • Book Subtitle: A System-Scientific Approach

  • Authors: Linan Huang, Quanyan Zhu

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-30709-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-30708-9Published: 03 June 2023

  • eBook ISBN: 978-3-031-30709-6Published: 02 June 2023

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: IX, 110

  • Number of Illustrations: 1 b/w illustrations, 29 illustrations in colour

  • Topics: Privacy, Artificial Intelligence

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