Recommendation Retrieval in Reputation Assessment for Peer-to-Peer Systems

Trustworthy e-commerce applications are not easy to design. Currently, patches are periodically released to countermeasure trust issues that arise in e-commerce communities. In this paper, we propose a methodology for designing trustworthy applications that enables an application designer to model applications resilient to trust related threats early in the development life cycle. Such modeling requires understanding of the system data flow and how the different processes use the system data. Our methodology consists of two phases, namely, data flow trust model and trust mitigation model.

show abstract

“…Trust management [21], [22] has been a focus area for research in recent years. A model for supporting trust is proposed in [23].…”

Section: B Trust Managementmentioning

confidence: 99%

A methodology for designing trustworthy e-commerce applications

Azzedin

Mahmood

2013

2013 International Conference on Collaboration Technologies and Systems (CTS)

Self Cite

View full text Add to dashboard Cite

show abstract

“…If peer u wants to enquire effectively about the reputation of peer v, u has to resolve the following issues 16 : (a) recommender selection: who should become the recommenders of v (i.e., from whom should u get the recommendations to compute the reputation of v), (b) recommendation retrieval (i.e., how should the recommendations be retrieved), (c) recommender filtering (which recommenders are useful towards computing the reputation of v), (d) recommendation evaluation (how important are the recommendations), and (e) recommendation manipulation (how will u process and combine the recommendations).…”

Section: Peer Group and Its Definitionmentioning

confidence: 99%

A GroupTrust model based on service similarity evaluation in P2P networks

Zhang

Zheng

Liu

et al. 2010

Int. J. Intell. Syst.

View full text Add to dashboard Cite

The open and anonymous nature of peer-to-peer (P2P) networks makes it an ideal medium for attackers to spread malicious contents, which in turn leads to lower quality of network services due to lack of effective trust management mechanism. To improve the quality of services (or transactions), this paper proposes a novel trust and reputation model, named as GroupTrust, based on peer group and evaluation similarity degree in P2P networks. In the proposed model, trust relationships between peers are divided into three categories: trust relationship within a peer group, trust relationship between different groups, and trust relationship between a peer in a peer group with another peer out of this peer group. The model presents the evaluation similarity degree under different context of services and gives local and global reputation computation. Experimental results demonstrate that this model can get more real trust value and deal with the malicious attacks efficiently by comparison with existing models. C

show abstract

Trust Based Resource Selection in Grids Using Immune System Inspired Model

Vijayakumar

2016

Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’)

View full text Add to dashboard Cite

Recommendation Retrieval in Reputation Assessment for Peer-to-Peer Systems

Cited by 5 publications

References 26 publications

A methodology for designing trustworthy e-commerce applications

A methodology for designing trustworthy e-commerce applications

A GroupTrust model based on service similarity evaluation in P2P networks

Trust Based Resource Selection in Grids Using Immune System Inspired Model

Contact Info

Product

Resources

About