Conference Paper

Assessing efficiency of trust management in peer-to-peer systems

Dipt. di Tecnologie dell'Informazione, Univ. di Milano, Crema, Italy
DOI: 10.1109/WETICE.2005.20 Conference: Enabling Technologies: Infrastructure for Collaborative Enterprise, 2005. 14th IEEE International Workshops on
Source: IEEE Xplore

ABSTRACT P2P applications support exchanging resources while preserving total or partial anonymity of both requestors and providers. However, concerns have been raised about the possibility that anonymity may encourage malicious peers to spread tampered-with resources (e.g., malicious programs and viruses). A considerable amount of research is now being carried out on the development of trust and reputation models in P2P networks. In this paper, we assess the efficiency of our approach to the design of reputation systems involving flexible techniques for collecting and aggregating peers' opinions via comparison with probabilistic approaches.

  • [Show abstract] [Hide abstract]
    ABSTRACT: In peer-to-peer (P2P) networks, trust management is a key tool to minimize the impact of malicious nodes. EigenTrust is claimed to be one of the most powerful distributed reputation management systems focused on P2P file-sharing applications. It is the theoretical base of other systems, and it has also been directly modified in an attempt to improve its performance. However, none of them give appropriate importance to all the information about transactions. This paper proposes an enhancement of EigenTrust, which considers unsatisfactory transactions in greater depth. Pos&Neg EigenTrust is able to obtain a blacklist of the identities of the malicious nodes. Therefore, it is able to significantly reduce the number of unsatisfactory transactions in the network.
    Journal of Parallel and Distributed Computing 06/2012; 72(6):809–818. DOI:10.1016/j.jpdc.2012.03.006 · 1.01 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Trust management is one of the most challenging issues in the emerging cloud computing area. Over the past few years, many studies have proposed different techniques to address trust management issues. However, despite these past efforts, several trust management issues such as identification, privacy, personalization, integration, security, and scalability have been mostly neglected and need to be addressed before cloud computing can be fully embraced. In this article, we present an overview of the cloud service models and we survey the main techniques and research prototypes that efficiently support trust management of services in cloud environments. We present a generic analytical framework that assesses existing trust management research prototypes in cloud computing and relevant areas using a set of assessment criteria. Open research issues for trust management in cloud environments are also discussed.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The study of trust management in multi-agent system, especially dis-tributed, has grown over the last years. Trust is a complex subject that has no general consensus in lit-erature, but has emerged the impor-tance of reasoning about it computa-tionally. Reputation systems takes into consideration the history of an entity's actions/behavior in order to compute trust, collecting and aggre-gating ratings from members in a community. In this scenario the ag-gregation problem becomes funda-mental, in particular depending on the environment. In this paper we describe a technique based on a class of asymptotically idempotent aggre-gation operators, suitable particu-lary for distributed anonymous en-vironments.