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Chapter and Conference Paper
Honeypot Allocation for Cyber Deception in Dynamic Tactical Networks: A Game Theoretic Approach
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 placement of honeypots in networ...
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Chapter and Conference Paper
Cyber Deception Against Zero-Day Attacks: A Game Theoretic Approach
Reconnaissance activities precedent other attack steps in the cyber kill chain. Zero-day attacks exploit unknown vulnerabilities and give attackers the upper hand against conventional defenses. Honeypots have ...
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Chapter and Conference Paper
A Network Centrality Game for Epidemic Control
Many epidemic networks admit the partition of the population into three compartments of respective susceptible, infected, and removed individuals. These epidemics involve a conflict between the agent who is pr...
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Chapter and Conference Paper
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning
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. On the other hand, existing ...
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Chapter and Conference Paper
Asymmetric Centrality Game Against Network Epidemic Propagation
The Mirai botnet network epidemic discovered in 2016 falls into the category of numerous epidemics propagated by attackers over a network to gain control over multiple devices. This particular epidemic has bee...
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Chapter and Conference Paper
Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs
This paper investigates the problem of synthesizing proactive defense systems with deception. We model the interaction between the attacker and the system using a formal security model: a probabilistic attack ...
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Chapter and Conference Paper
FlipPath Game to Counter Stealthy Attacks in SDN-Based Tactical Networks
Software-Defined Networking (SDN) is an evolving network paradigm that separates the control and forwarding functions of network devices. Its application in tactical networks can help to automate Virtual Priva...
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Chapter and Conference Paper
Optimizing Intrusion Detection Systems Placement Against Network Virus Spreading Using a Partially Observable Stochastic Minimum-Threat Path Game
Intrusion Detection Systems (IDS) are security tools that aim to detect tentative of virus propagation between two interconnected devices. As the propagation of a virus or malware is dynamic and can be strateg...
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Article
A Partially Observable Stochastic Zero-sum Game for a Network Epidemic Control Problem
The mathematical theory of epidemics borrows its fundamental notions from epidemiology. These notions encompass the division of the population of individuals into compartments and thereafter the classification...
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Chapter and Conference Paper
Learning Generative Deception Strategies in Combinatorial Masking Games
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 deception can be employed is thr...
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Chapter and Conference Paper
Online Cyber Deception System Using Partially Observable Monte-Carlo Planning Framework
Cyber deception is an approach where the network administrators can deploy a network of decoy assets with the aim to expend adversaries’ resources and time and gather information about the adversaries’ strate...
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Chapter and Conference Paper
Hardware Sandboxing: A Novel Defense Paradigm Against Hardware Trojans in Systems on Chip
A novel approach for mitigation of hardware Trojan in Systems on Chip (SoC) is presented. With the assumption that Trojans can cause harm only when they are activated, the goal is to avoid cumbersome and somet...