Detecting malicious groups of agents

Braynov, Sviatoslav; Jadliwala, Murtuza

doi:10.1109/massur.2004.1368422

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…The identity of a resource's creator is just one part of a trust decision, and the Semantic Web provides new opportunities for considering content directly. Existing approaches to model trust focus on entities [6,4,9,13,15,2], but they only take into account overall interactions across entities and disregard the nature of interactions, i.e. the actual information or content exchanged.…”

Section: Content Trust In Information Sourcesmentioning

confidence: 99%

“…The direct interactions of a user with a resource provides reputation information, a record of whether or not trust was well-placed in the past. 6. Recommendation.…”

Section: Authoritymentioning

confidence: 99%

“…Semantic representations [19] can be used to describe access rights and policies. The detection of malicious or otherwise unreliable entities in a network has also been studied, traditionally in security and more recently in P2P networks and e-commerce transactions [6].…”

Section: Related Workmentioning

confidence: 99%

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Towards content trust of web resources

Gil

Artz

2006

Proceedings of the 15th International Conference on World Wide Web

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Trust is an integral part of the Semantic Web architecture. Most prior work on trust focuses on entity-centered issues such as authentication and reputation and does not take into account the content, i.e. the nature and use of the information being exchanged. This paper defines content trust and discusses it in the context of other trust measures that have been previously studied. We introduce several factors that users consider in deciding whether to trust the content provided by a Web resource. Our goal is to discern which of these factors could be captured in practice with minimal user interaction in order to maximize the quality of the system's trust estimates. We present results on a study to determine which factors were more important to capture, and describe a simulation environment that we have designed to study alternative models of content trust.

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Section: Content Trust In Information Sourcesmentioning

confidence: 99%

“…The direct interactions of a user with a resource provides reputation information, a record of whether or not trust was well-placed in the past. 6. Recommendation.…”

Section: Authoritymentioning

confidence: 99%

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Towards content trust of web resources

Gil

Artz

2006

Proceedings of the 15th International Conference on World Wide Web

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“…Software agents permit an attacker to launch sophisticated attacks, including coordinated attacks on targets. From the offensive perspective, there are several advantages to launching agent-based attacks [2,3]. Responding to such attacks requires the operator to make dynamic interventions in the face of changing adversary behavior.…”

Section: Introductionmentioning

confidence: 99%

Agent Interaction and State Determination in SCADA Systems

McEvoy

Wolthusen

2012

Critical Infrastructure Protection VI

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Defensive actions in critical infrastructure environments will increasingly require automated agents to manage the complex, dynamic interactions that occur between operators and malicious actors. Characterizing such agent behavior requires the ability to reason about distributed environments where the state of a channel or process depends on the actions of the opposing sides. This paper describes an extension to the Applied π-Calculus for modeling agent behavior in critical infrastructure environments. The utility of the extension is demonstrated via an agent-based attack and defense interaction scenario.

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