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Trustworthiness and Subversion in Large Service- Oriented Multi-Agent Systems under Virtual Anonymity and Blind Provider Selection
Abstract
To promote honest service provision in multi-agent systems, a Computational Trustworthiness and Rating scheme collects service ratings and computes agents' trustworthiness levels (TLs). Studies of existing schemes fail to reflect closed-loop dynamics of TLs arising from the mutual influence of agents' behavior and TLs, and to capture relevant properties. Recent simulative and analytical models produce results tied to a particular attack scenario, or restricted to small-size systems or simplistic agent behavior. We analyze a class of parameterized skimp and slander attacks in a challenging setting featuring agents' virtual anonymity, collusion, and blind, i.e., TL-insensitive selection of service providers, as well as unpredictable service availability and receptivity. We derive closed-loop Markovian TL dynamics and their mean-value approximation to analytically characterize agents' steady-state TLs, and find a systematic defense against skimp and slander.
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Konorski J.: Trustworthiness and Subversion in Large Service- Oriented Multi-Agent Systems under Virtual Anonymity and Blind Provider Selection// / : , 2024,
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/trustcom60117.2023.00107
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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