29 citations · 67 across the 11 of their papers we have counts for
12 papers
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs
Haoxiang Ma, Shuo Han, Nandi Leslie +2
This paper investigates the problem of synthesizing proactive defense systems in which the defender can allocate deceptive targets and modify the cost of actions for the attacker w…
Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks
Sumukha Udupa, Abhishek N. Kulkarni, Shuo Han +3
We consider the probabilistic planning problem for a defender (P1) who can jointly query the sensors and take control actions to reach a set of goal states while being aware of pos…
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness
Abhishek N. Kulkarni, Shuo Han, Nandi O. Leslie +2
We consider the probabilistic planning problem where the agent (called Player 1, or P1) can jointly plan the control actions and sensor queries in a sensor network and an attacker…
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy E. J. Cohen, Zinan Lin +5
Generative adversarial networks (GANs) are often billed as "universal distribution learners", but precisely what distributions they can represent and learn is still an open questio…
Decoy Allocation Games on Graphs with Temporal Logic Objectives
Abhishek N. Kulkarni, Jie Fu, Huan Luo +2
We study a class of games, in which the adversary (attacker) is to satisfy a complex mission specified in linear temporal logic, and the defender is to prevent the adversary from a…
Deceptive Labeling: Hypergames on Graphs for Stealthy Deception
Abhishek N. Kulkarni, Huan Luo, Nandi O. Leslie +2
With the increasing sophistication of attacks on cyber-physical systems, deception has emerged as an effective tool to improve system security and safety by obfuscating the attacke…
Secure-by-synthesis network with active deception and temporal logic specifications
Jie Fu, Abhishek N. Kulkarni, Huan Luo +2
This paper is concerned with the synthesis of strategies in network systems with active cyber deception. Active deception in a network employs decoy systems and other defenses to c…
Discovering a Regularity: the Case of An 800-year Law of Advances in Small-Arms Technologies
Alexander Kott, Philip Perconti, Nandi Leslie
Considering a broad family of technologies where a measure of performance (MoP) is difficult or impossible to formulate, we seek an alternative measure that exhibits a regular patt…
Learning and Planning in the Feature Deception Problem
Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan +5
Today's high-stakes adversarial interactions feature attackers who constantly breach the ever-improving security measures. Deception mitigates the defender's loss by misleading the…
Statistical Models for the Number of Successful Cyber Intrusions
Nandi O. Leslie, Richard E. Harang, Lawrence P. Knachel +1
We propose several generalized linear models (GLMs) to predict the number of successful cyber intrusions (or "intrusions") into an organization's computer network, where the rate a…
Approaches to Enhancing Cyber Resilience: Report of the North Atlantic Treaty Organization (NATO) Workshop IST-153
Alexander Kott, Benjamin Blakely, Diane Henshel +21
This report summarizes the discussions and findings of the 2017 North Atlantic Treaty Organization (NATO) Workshop, IST-153, on Cyber Resilience, held in Munich, Germany, on 23-25…
Toward Intelligent Autonomous Agents for Cyber Defense: Report of the 2017 Workshop by the North Atlantic Treaty Organization (NATO) Research Group IST-152-RTG
Alexander Kott, Ryan Thomas, Martin Drašar +18
This report summarizes the discussions and findings of the Workshop on Intelligent Autonomous Agents for Cyber Defence and Resilience organized by the NATO research group IST-152-R…