134 citations · 419 across the 67 of their papers we have counts for
4 papers · 1 filter
Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security
Guosong Yang, Radha Poovendran, João P. Hespanha
We study a two-player Stackelberg game with incomplete information such that the follower's strategy belongs to a known family of parameterized functions with an unknown parameter…
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Shana Moothedath, Dinuka Sahabandu, Joey Allen +3
Advanced persistent threats (APTs) are organized prolonged cyberattacks by sophisticated attackers. Although APT activities are stealthy, they interact with the system components a…
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach
Shana Moothedath, Dinuka Sahabandu, Joey Allen +4
Advanced Persistent Threats (APTs) are stealthy customized attacks by intelligent adversaries. This paper deals with the detection of APTs that infiltrate cyber systems and comprom…
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats
Shana Moothedath, Dinuka Sahabandu, Joey Allen +4
Advanced Persistent Threats (APTs) infiltrate cyber systems and compromise specifically targeted data and/or resources through a sequence of stealthy attacks consisting of multiple…