Implementing an Adaptive Higher Level Observer in Trusted Desktop Grid to Control Norms

Kantert, Jan; Scharf, Hannes; Edenhofer, Sarah; Tomforde, Sven; Hähner, Jörg; Müller-Schloer, Christian

doi:10.5220/0005057902880295

Cited by 3 publications

(1 citation statement)

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“…This is a metric calculated by the HITS Algorithm [15] to rate the importance of a node in the graph (13). Authorities perform good on distinguishing Adaptive Agents and Altruists from Cunning Agents.…”

Section: ) Authoritiesmentioning

confidence: 99%

Robust Self-Monitoring in Trusted Desktop Grids for Self-Configuration at Runtime

Kantert

Edenhofer

Tomforde

et al. 2014

2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops

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A Trusted Desktop Grid System (TDG) is a platform for autonomous agents to share their computing resources based on trust relationships. Thereby, agents that only use the system without a fair participation are considered as malicious. Typically, the effects of active malicious agents and high-load situations of the TDG are similar -calling for appropriate approaches to distinguish them and, thus, allowing for counter measures to attacks. In this paper, we investigate the effect of high load to our measurements and present a concept for filtering our metrics. The evaluation demonstrated that we can normalise our metrics under high load to detect attacks with a high certainty using system-wide metrics.

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Section: ) Authoritiesmentioning

confidence: 99%