1st International ICST Workshop on the Value of Security through Collaboration

Research Article

Performance evaluation of a self-evolving trust building framework

  • @INPROCEEDINGS{10.1109/SECCMW.2005.1588306,
        author={Giannis Marias and Panagiotis  Georgiadis and Odysseas  Sekkas and Vassileios  Tsetsos},
        title={Performance evaluation of a self-evolving trust building framework},
        proceedings={1st International ICST Workshop on the Value of Security through Collaboration},
        publisher={IEEE},
        proceedings_a={SECOVAL},
        year={2006},
        month={2},
        keywords={},
        doi={10.1109/SECCMW.2005.1588306}
    }
    
  • Giannis Marias
    Panagiotis Georgiadis
    Odysseas Sekkas
    Vassileios Tsetsos
    Year: 2006
    Performance evaluation of a self-evolving trust building framework
    SECOVAL
    IEEE
    DOI: 10.1109/SECCMW.2005.1588306
Giannis Marias1,*, Panagiotis Georgiadis1, Odysseas Sekkas1, Vassileios Tsetsos1
  • 1: University of Athens, Greece
*Contact email: marias@mm.di.uoa.gr

Abstract

A self-evolving reputation scheme for trust establishment in distributed peer networks is presented and evaluated. The framework, called ad-hoc trust framework (ATF), incorporates subjective behavior of end-users, direct observations of behaviors, recommendations, and history of evidences to assess the trustworthiness of peer entities. It considers several idiosyncrasies of the wireless self-organized networks, such as lack of computational resources. ATF is associated with a generic model for the evaluation of the trustworthiness of adjacent or distant nodes. It relies on a sophisticated reputation method, called trustspan, to contact only trusted peers for recommendations, and, thus, it minimizes communication costs for trust building, accelerating the trust evolution process. To evaluate the performance of the ATF framework we have deployed a large number of simulation scenarios. The performance assessment results show that ATF achieves to rapidly identify selfish nodes with high accuracy, and with relatively low communication costs.