Visible to the public Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems

TitleDynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems
Publication TypeJournal Article
Year of Publication2019
AuthorsHu, Y., Sanjab, A., Saad, W.
JournalIEEE Internet of Things Journal
Volume6
Pagination3712—3726
ISSN2327-4662
Keywordsantijamming mechanism, attacker psychological behavior, Bayes methods, delays, dynamic psychological game theory, game theory, Games, human factors, Internet of Things, Internet of Things (IoT), iobt, IoBT network, jamming, learning (artificial intelligence), psychological game, psychological self-confirming equilibrium, psychology, pubcrawl, Scalability, secure Internet of Battlefield Things systems, security, soldier, soldier IoBT transmission link, time-critical mission
Abstract

In this paper, a novel anti-jamming mechanism is proposed to analyze and enhance the security of adversarial Internet of Battlefield Things (IoBT) systems. In particular, the problem is formulated as a dynamic psychological game between a soldier and an attacker. In this game, the soldier seeks to accomplish a time-critical mission by traversing a battlefield within a certain amount of time, while maintaining its connectivity with an IoBT network. The attacker, on the other hand, seeks to find the optimal opportunity to compromise the IoBT network and maximize the delay of the soldier's IoBT transmission link. The soldier and the attacker's psychological behavior are captured using tools from psychological game theory, with which the soldier's and attacker's intentions to harm one another are considered in their utilities. To solve this game, a novel learning algorithm based on Bayesian updating is proposed to find an -like psychological self-confirming equilibrium of the game.

URLhttps://ieeexplore.ieee.org/document/8599014
DOI10.1109/JIOT.2018.2890431
Citation Keyhu_dynamic_2019