Cyber Deception by Tiffany Bao
This book introduces recent research results for cyber deception, a promising field for proactive cyber defense. The beauty and challenge of cyber deception is that it is an interdisciplinary research field requiring study from techniques and strategies to human aspects.This book covers a wide variety of cyber deception research, including game theory, artificial intelligence, cognitive science, and deception-related technology. Specifically, this book addresses three core elements regarding cyber deception:
- Understanding human’s cognitive behaviors in decoyed network scenarios
- Developing effective deceptive strategies based on human’s behaviors
- Designing deceptive techniques that supports the enforcement of deceptive strategies
The research introduced in this book identifies the scientific challenges, highlights the complexity and inspires the future research of cyber deception.
Researchers working in cybersecurity and advanced-level computer science students focused on cybersecurity will find this book useful as a reference. This book also targets professionals working in cybersecurity.
Chapter 'Using Amnesia to Detect Credential Database Breaches' and Chapter 'Deceiving ML-Based Friend-or-Foe Identification for Executables' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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Cyber-security of SCADA and Other Industrial Control Systems
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He's Got to Go
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Privacy-Preserving Record Linkage
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Foundations of Cyber Deception
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Enabling Privacy Preserving Data Analytics
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Cloud Security Auditing
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Artificial Intelligence for Cybersecurity
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Multivariate Public Key Cryptosystems
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Cybersecurity Awareness
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Countering Cyberterrorism
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Guide to Cybersecurity in Digital Transformation
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Preserving Privacy in Data Outsourcing
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Blockchain for Cybersecurity in Cyber-Physical Systems
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Botnet Detection
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Information Hiding: Steganography and Watermarking-Attacks and Countermeasures
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Spyware and Adware
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Malware
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Evolution of Cyber Technologies and Operations to 2035
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Decision Making and Security Risk Management for IoT Environments
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Iris Biometrics
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Cyber Denial, Deception and Counter Deception
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Cyber Threat Intelligence
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Global Initiatives to Secure Cyberspace
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Encryption for Digital Content
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Adaptive Cryptographic Access Control
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Moving Target Defense II
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Secure Multi-Party Non-Repudiation Protocols and Applications
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Malicious Attack Propagation and Source Identification
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Smart Micro-Grid Systems Security and Privacy
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Primality Testing and Integer Factorization in Public-Key Cryptography
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Privacy-Respecting Intrusion Detection
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Android Malware Detection using Machine Learning
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Network Intrusion Detection and Prevention
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Proactive and Dynamic Network Defense
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Security and Resiliency Analytics for Smart Grids
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Blockchain Cybersecurity, Trust and Privacy
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Binary Code Fingerprinting for Cybersecurity
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Cyber Situational Awareness
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Insider Attack and Cyber Security
Ryan M. Gerdes is an assistant professor of Electrical and Computer Engineering at Virginia Polytechnic Institute. His interests include signal and data authentication, hardware and device security, computer and network security, transportation security, and applied electromagnetics.
Yong Guan is an associate professor at Iowa State University. His research and teaching are in computer networks and distributed systems, with focuses on security issues, including computer and network forensics, wireless and sensor network security, privacy-enhancing technologies for the Internet, and secure real-time computing and communication.
Sneha Kumar Kasera is a professor in the School of Computing at the University of Utah. Before joining the University of Utah, he spent four years in the Mobile Networking Research Department at Bell Labs, Lucent Technologies. Earlier, I obtained a Ph.D. in Computer Science from the Advanced Networks Research Group at the University of Massachusetts in Amherst.
Cliff Wang is the program director at US Army Research Office, managing a large portfolio of university research. He is also appointed as an adjunct professor at North Carolina State University. Dr. Wang is a fellow of IEEE.
Yong Guan is an associate professor at Iowa State University. His research and teaching are in computer networks and distributed systems, with focuses on security issues, including computer and network forensics, wireless and sensor network security, privacy-enhancing technologies for the Internet, and secure real-time computing and communication.
Sneha Kumar Kasera is a professor in the School of Computing at the University of Utah. Before joining the University of Utah, he spent four years in the Mobile Networking Research Department at Bell Labs, Lucent Technologies. Earlier, I obtained a Ph.D. in Computer Science from the Advanced Networks Research Group at the University of Massachusetts in Amherst.
Cliff Wang is the program director at US Army Research Office, managing a large portfolio of university research. He is also appointed as an adjunct professor at North Carolina State University. Dr. Wang is a fellow of IEEE.
| SKU | Unavailable |
| ISBN 13 | 9783031166129 |
| ISBN 10 | 3031166124 |
| Title | Cyber Deception |
| Author | Tiffany Bao |
| Series | Advances In Information Security |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2023-03-09 |
| Number of pages | 249 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |