Trusting Evaluation by Social Reputation

Carchiolo, Vincenza; Longheu, Alessandro; Malgeri, Michele; Mangioni, Giuseppe

doi:10.1007/978-3-540-85257-5_8

Cited by 8 publications

(9 citation statements)

References 12 publications

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“…In this paper, A combination approach of the two is adopted [5]. If user is a new, the direct and recommendation reputation is little even zero, a filling method is used to make the user possess a initial reputation value [7,15].…”

Section: A Reputation Calculation Formulamentioning

confidence: 99%

“…(2) Its expression and scalability is poor, that can not deal with changing security needs of individual. The trust of the local strategy can not be migrated and manage spanning domain [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…(1) Certificate Center takes a general sense of security only on the individual identification [5,6]. The capacity of individuals and individual's security status essential can not be confirmed, too Over-relying on the certification center to weaken the individual's self-identification, the actual conflict between the partner can not be solved in the transaction.…”

Section: Introductionmentioning

confidence: 99%

“…The security policy of network resource be formed to the root of the local authority in a typical Web services authorizing [2,5]. However, the entity is unknown in the distribute network, if the service verify identity of the requesting party, it will increase workload itself [7,12].…”

Section: Introductionmentioning

confidence: 99%

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A Security Authentication System Based on Trusted Platform

Liu

et al. 2009

2009 First International Conference on Information Science and Engineering

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An authentication system based on trusted platform is presented in distributed network, network nodes are distributed in each domain , the domain authentication server based-TPM granted a certificate to each trusted member of domain and authorize trust token to access network source in different domain, in this paper, many security technologies are applied, member with trust token can span domain boundaries, transmit security message and access resource, authentication can prevent message from tampering and counterfeiting based on Dolve-Yao attack, and shorten the response time of authentication.

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Section: A Reputation Calculation Formulamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Security Authentication System Based on Trusted Platform

Liu

et al. 2009

2009 First International Conference on Information Science and Engineering

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“…In this context, several algorithms [9][10][11][12][13][14][15][16][17] have been proposed. One of the first and well-known algorithm for reputation-based trust is Eigentrust [11], which associates to each node a global trust index using an algorithm inspired by PageRank [18][19][20] and the random walker mathematical formalization.…”

Section: Introductionmentioning

confidence: 99%

Trust assessment: a personalized, distributed, and secure approach

Carchiolo¹,

Longheu²,

Malgeri³

et al. 2011

Concurrency and Computation

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SUMMARYCurrently several computer-based scenarios leverage the concept of trust as a mean to make electronic interactions (e.g., e-commerce transactions) as reliable as possible, allowing to cope with uncertainty and risks by recommending trusted peers. Generally, the evaluation of trustworthiness can be accomplished according to many principles, from social-based to psychology-based; one of the commonly adopted approaches within peer-to-peer networks, virtual social networks, and recommendation systems is the reputation-based trust evaluation. Because more and more large networks (even with millions of nodes) aim at leveraging trust, approaches to its assessment have to take into account the factors as efficient distributed implementation and effective security protection against malicious attacks.In this paper, we present a distributed and secure algorithm based on TrustWebRank, a metric that takes into account both personalized trust evaluation and network dynamics issues. To test our proposal both in terms of complexity and bandwidth usage, we performed simulations on a large and real dataset built from the Epinions.com recommendation system. Results show that the proposed distributed algorithm is effective and efficient, while preserving original benefits of TrustWebRank.

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