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.
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Showing 1 to 20 of 268 for “"Adversary"”.
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Multi-Leader Congestion Games with an Adversary
… with multiple leaders and a single follower (adversary) which is motivated by security applications with congestion effects. Our objective was to understand the result and the impact of selfish acting individuals in these games. In this regard, we analyzed the existence, the computation and …
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Terrain and Adversary-Aware Autonomous Robot Navigation
… quickly) and concealment (staying hidden from an adversary) using the Preference-based Inverse Reward Learning (PbIRL) methodology. The PbIRL methodology reduces the barrier of generating initial demonstration data to learn the terrain affordances by using a human expert’s preferences to learn …
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Adversary-driven state-based system security evaluation
… we have formally defined and implemented the ADversary VIew Security Evaluation (ADVISE) method. Our approach is to create an executable state-based security model of a system and an adversary that represents how the adversary is likely to attack the system and the likely results of such an …
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Optimal trading strategies vs. a statistical adversary
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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An assessment of uncertainty due to adversary mobility
Uncertainty related to an adversary's tactics, techniques, and procedures is often difficult to characterize, particularly during the period immediately before a conflict, when planning for a face-to-face confrontation with a combatant. Adversarial freedom of maneuver and the fixed nature of asset …
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Survivability Against Intelligent Adversary in Next-Generation Wireless Networks
… and collisions in spectrum acquirement. An adversary can intelligently exploit these vulnerabilities to disrupt the communications of legitimate SUs. In this research, we address these unique challenges in the battle for coexistence. We first present a framework for dynamic spectrum …
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Prediction games : machine learning in the presence of an adversary
In many applications one is faced with the problem of inferring some functional relation between input and output variables from given data. Consider, for instance, the task of email spam filtering where one seeks to find a model which automatically assigns new, previously unseen emails to class …
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Japan's roles in U.S. national security strategy: strategic ally and economic adversary
… security strategy: strategic ally and economic adversary. Its central hypothesis is that postwar American policy toward Japan has, of necessity, placed strategic imperatives over economic interests but that a continuation of such an approach in the emerging post-Cold War environment both harms …
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A generalized adversary decision algorithm and analytic solution methods for advise models
… combining a system vulnerability graph with an adversary profile through an adversary decision algorithm. Previously, the decision algorithm placed restrictive assumptions on the adversary profile, and simulation was the sole solution method for ADVISE models. In this thesis, the decision …
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Agency without an adversary: The Cia and covert actions in the nineteen-eighties and beyond
The CIA and its covert actions have been oft criticized. After serious Congressional oversight was established in 1976-77 (The Year of Intelligence) covert actions by the Agency tapered off. Did this mean the loss of a powerful tool because of Congressional meddling in foreign affairs or simply the …
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Machine learning in the hands of a malicious adversary: A study on ML-driven malware
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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Persistent patrolling in the presence of adversarial observers
… an environment in an attempt to locate a hidden adversary as quickly as possible. Such strategies generally fail, however, to consider the game theoretic impacts of the adversary seeking to avoid the patroller's detection. The field of patrolling security games that addresses this two-player game …
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Control of multiclass queueing systems with abandonments and adversarial customers
… security team in order to minimise the damage an adversary can inflict within the public areas. We model the surveillance scenario as a multiclass queueing system with customer abandonments, wherein the operational problem translates into developing service policies for a server in order to …
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Improving Performance of Consensus Protocols
… of the nodes are corrupted by a weakly adaptive adversary. A weakly adaptive adversary can observe messages sent by honest nodes, adaptively corrupt nodes and inject arbitrary new messages. Besides a weakly adaptive adversary, it is also important to study the round complexity of BB protocol …
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Proof-of-stake longest chain protocols: security vs predicability
… has been proven to provide security against any adversary with less than 50% of the total hashing power. Proof-of-stake (PoS) protocols are an energy-efficient alternative; however existing protocols adopting Nakamoto’s longest chain design achieve provable security only by allowing long-term …
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Optimizing Programmable Logic Design Security Strategies
… practice, but also the likely action of an adversary given their goals. We concern ourselves principally with adversaries attempting to make use of hardware Trojans, although we also show that our work can be generalized to adversaries and defenders using any of a variety of microelectronics …
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Systems and models for secure fallback authentication
… these FA techniques are vulnerable to the known adversary. The known adversary is any individual with elevated knowledge of a potential victim, or elevated access to a potential victim's devices that uses these privileges with malicious intent, undermining the most commonly used FA techniques. An …
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Goal-Directed Systems Testing: Automated Execution of Intelligently Generated Cyber Attack Plans
… which a team of professional hackers emulate an adversary in order to attempt to penetrate a network, has emerged as a vital tool in the cybersecurity industry to identify deficiencies in network defenses. Yet, hiring or maintaining a red team requires a substantial investment of time and money, …
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