Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Attacker-Defender"”.
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Investigating coevolutionary algorithms for finding Nash equilibria in cybersecurity problems
… secure networks against attacks. We modeled attacker-defender interactions using competitive coevolutionary algorithms and investigated Nash equilibria within these cybersecurity problems. In particular, we examined and presented variations on two existing algorithms that look for Nash …
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Distributionally Ambiguous Stackelberg Combinatorial Games for Submodular Optimization and Camera View-Frame Placement
… model sequential decision-making between an attacker and a defender. Our work specifically addresses challenging settings where the defender's recourse is a complex com- binatorial optimization problem and the attacker faces uncertainty and distributional am- biguity. We analyze these games …
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Cyber-Physical-Social Systems for Autonomous Defense: Enabling Mission-Centric, Adaptive, and Anytime Intelligence
… information and strategic dynamics that shape attacker–defender interactions. These gaps highlight unresolved challenges in mission-level risk awareness, adaptive defense under uncertainty, and resource-bounded reasoning. This dissertation pursues a unified research vision: to develop a …
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A Multi-Agent Defense Methodology with Machine Learning against Cyberattacks on Distribution Systems
… so-called direct switching attack, in which an attacker aims to disrupt power supply by compromising switching devices that connect equipment such as generators, and power grid lines. To maximize the damage, this attack tends to be coordinated as the attacker optimally selects the nodes and …
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Advanced Threat Intelligence: Interpretation of Anomalous Behavior in Ubiquitous Kernel Processes
… labeled patterns are mapped to a dedicated APT attacker–defender model that considers objectives, actions, actors, as well as assets, thereby bridging the gap between attack indicators and detailed threat semantics. This enables both risk assessment and decision support for mitigating targeted …
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Information, Learning and Incentive Design for Urban Transportation Networks
… we analyze stylized game-theoretic models of attacker-defender interactions for the purpose of evaluating security risks in transportation networks. Our equilibrium analysis suggests an optimal resource allocation strategy to defend multiple infrastructure facilities against an adversarial …
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Data-centric methods for optimization and pattern discovery in networked systems
In this thesis, we examine two data-driven solutions to problems in operational networks. The first problem is concerned with assessing the resilience of the US air transportation network from an operational perspective. As a complex network comprising over 5,000 public airports and countless …
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Game-Theoretic and Machine Learning-based Defensive Deception for Dependable and Secure Cyber-Physical Systems
… deception (DD) techniques that manipulate attackers' beliefs to mislead their decision-making, inducing suboptimal actions that lead to attack failure. By integrating game theory and machine learning, this research creates strategic, autonomous defense frameworks tailored to CPS and HMTS …