103 citations · 195 across the 29 of their papers we have counts for
31 papers
Integrated Resource Allocation and Strategy Synthesis in Safety Games on Graphs with Deception
Abhishek N. Kulkarni, Matthew S. Cohen, Charles A. Kamhoua +1
Deception plays a crucial role in strategic interactions with incomplete information. Motivated by security applications, we study a class of two-player turn-based deterministic ga…
Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach
Md Abu Sayed, Ahmed H. Anwar, Christopher Kiekintveld +1
Honeypots play a crucial role in implementing various cyber deception techniques as they possess the capability to divert attackers away from valuable assets. Careful strategic pla…
Cyber Deception against Zero-day Attacks: A Game Theoretic Approach
Md Abu Sayed, Ahmed H. Anwar, Christopher Kiekintveld +2
Reconnaissance activities precedent other attack steps in the cyber kill chain. Zero-day attacks exploit unknown vulnerabilities and give attackers the upper hand against conventio…
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception
Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik +1
Over the years, honeypots emerged as an important security tool to understand attacker intent and deceive attackers to spend time and resources. Recently, honeypots are being deplo…
Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach
Haoxiang Ma, Shuo Han, Charles A. Kamhoua +1
This paper is concerned with the optimal allocation of detection resources (sensors) to mitigate multi-stage attacks, in the presence of the defender's uncertainty in the attacker'…
AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices
Volviane Saphir Mfogo, Alain Zemkoho, Laurent Njilla +2
The proliferation of the Internet of Things (IoT) has raised concerns about the security of connected devices. There is a need to develop suitable and cost-efficient methods to ide…
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…
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani, Zhicheng Zhang, Nicholay Topin +4
Many recent breakthroughs in multi-agent reinforcement learning (MARL) require the use of deep neural networks, which are challenging for human experts to interpret and understand.…
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…
Incentivizing Data Contribution in Cross-Silo Federated Learning
Chao Huang, Shuqi Ke, Charles Kamhoua +2
In cross-silo federated learning, clients (e.g., organizations) train a shared global model using local data. However, due to privacy concerns, the clients may not contribute enoug…
Learning Generative Deception Strategies in Combinatorial Masking Games
Junlin Wu, Charles Kamhoua, Murat Kantarcioglu +1
Deception is a crucial tool in the cyberdefence repertoire, enabling defenders to leverage their informational advantage to reduce the likelihood of successful attacks. One way dec…
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu, Bowei Xi, Charles Kamhoua
Deep neural network (DNN) is a popular model implemented in many systems to handle complex tasks such as image classification, object recognition, natural language processing etc.…
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…
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
Defensive deception techniques have emerged as a promising proactive defense mechanism to mislead an attacker and thereby achieve attack failure. However, most game-theoretic defen…
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…
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Mu Zhu, Ahmed H. Anwar, Zelin Wan +3
Defensive deception is a promising approach for cyber defense. Via defensive deception, the defender can anticipate attacker actions; it can mislead or lure attacker, or hide real…
Blocking Adversarial Influence in Social Networks
Feiran Jia, Kai Zhou, Charles Kamhoua +1
While social networks are widely used as a media for information diffusion, attackers can also strategically employ analytical tools, such as influence maximization, to maximize th…
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…
Optimal Deployments of Defense Mechanisms for the Internet of Things
Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua +1
Internet of Things (IoT) devices can be exploited by the attackers as entry points to break into the IoT networks without early detection. Little work has taken hybrid approaches t…
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…
Exploring the Attack Surface of Blockchain: A Systematic Overview
Muhammad Saad, Jeffrey Spaulding, Laurent Njilla +4
In this paper, we systematically explore the attack surface of the Blockchain technology, with an emphasis on public Blockchains. Towards this goal, we attribute attack viability i…
Compact Representation of Value Function in Partially Observable Stochastic Games
Karel Horák, Branislav Bošanský, Christopher Kiekintveld +1
Value methods for solving stochastic games with partial observability model the uncertainty about states of the game as a probability distribution over possible states. The dimensi…