Privacy in the Internet of Things
Devices constantly leak data about their users. The obfuscation chapter studies how users can strategically perturb what they reveal to protect their privacy.
About the book
A game-theoretic foundation for cyber deception
This book uses game theory to conceptualize, model and analyze cyber deception. Drawing on a decade of deception research, it develops a taxonomy of six species of defensive cyber deception. It then applies three of them to emerging problems: privacy against ubiquitous tracking in the Internet of Things, dynamic honeynets for observing advanced persistent threats, and active defense against physical denial-of-service attacks.
It is written for security practitioners who want to learn game theory, and for researchers and students with a game theory background who are moving into cybersecurity.
- Introduces game theory as a way to conceptualize, analyze and model cyber deception
- Develops a thorough game-theoretic taxonomy for identifying and investigating emerging problems in cybersecurity
- Covers a broad range of models, including large-population games and games of incomplete information
Applications
What the chapters tackle
Honeypots and dynamic honeynets
Defenders can augment traditional security with active defense. These chapters study honeypots and dynamic honeynets that observe advanced persistent threats.
Trust among IoT devices
Devices must decide whether to trust agents that may be self-interested or malicious. Game theory captures these interdependent decisions, including cyber-physical transportation security.
Broadcast deception at scale
Attackers often send deceptive messages to many devices, looking for easy targets. Poisson signaling games model populations of agents with different abilities to detect deception.