Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning

DOI10.1007/978-3-030-32430-8_25zbMath1440.68040OpenAlexW2981386664MaRDI QIDQ3297679

Joey Allen, Radha Poovendran, Wenke Lee, Shana Moothedath, Dinuka Sahabandu, Linda G. Bushnell

Publication date: 20 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-32430-8_25

zbMATH Keywords

stochastic gamesreinforcement learningdynamic information flow trackingadvance persistent threatssecurity of computer systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of game theory (91A80) Stochastic games, stochastic differential games (91A15) Computer security (68M25)

Uses Software

• TaintDroid
• Dytan

Cites Work

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• Stochastic approximation with two time scales
• Two-player stochastic games. II: The case of recursive games
• A survey of emerging threats in cybersecurity
• 10.1162/1532443041827880
• A Stochastic Approximation Method
• Multi-stage dynamic information flow tracking game
• A game theoretical framework for inter-process adversarial intervention detection

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