A P2P Reputation Incentive Mechanism based on Artificial Fish-Swarm Model

Jun Liu; Xi Liu; Chun Yan Zhu; Yi Ying Bai

doi:10.4028/www.scientific.net/AMM.321-324.2725

Paper Titles

Some Cryptographic Properties of Rotation Symmetric Boolean Functions
p.2704

Real-Time Fault-Tolerant Ethernet Technology - TTEthernet and its Feature
p.2711

Internally Vertex-Disjoint Paths in Crossed Cube-Connected Ring Networks
p.2715

Study on the Mobile Information Service in the University Library
p.2721

A P2P Reputation Incentive Mechanism based on Artificial Fish-Swarm Model
p.2725

Research and Design P2PSIP Internet Phone Systems Based on the Advanced Kademlia Algorithm
p.2732

Study on the Shielding Effectiveness of a Metallic Rectangular Enclosure with Four Square Apertures having Different Position Arrays
p.2737

Research of Network Traffic Matrix Based on Improved Fanout Model
p.2745

Broad Null Steering by Phase only Perturbation Using Immune Algorithm
p.2749

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324A P2P Reputation Incentive Mechanism based on...

A P2P Reputation Incentive Mechanism based on Artificial Fish-Swarm Model

Abstract:

Recently, P2P networks play an important role in network. However, there exist a large amount of malicious actions in P2P networks resulting from the lack of reputation system. For example, nodes are willing to share resources each other and may withdraw from networks at any time. Thus, the system is difficult to guarantee effectiveness and availability. According to the behavior of fish school, A novel optimizing, Fish-swam Algorithm, was proposed in this paper, which can decide the next step when nodes have no interactive experience with others. The algorithm based on the model of autonoms animals and was presented to be a kind of efficient incentive mechanism, through a series of experimental study.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2725-2731

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2725

Citation:

Cite this paper

Online since:

June 2013

Authors:

Jun Liu, Xi Liu, Chun Yan Zhu, Yi Ying Bai

Keywords:

Artificial Fish-Swarm Model, Incentive Mechanism, P2P, Reputation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Hacigumus, B Iyer and S. Mehrotra. Providing Database as a Service//ICDE 2002.San Jose, California (USA,2002).

Google Scholar

[2] E.A. Bernardo and A.Huberman. Free Riding on Gnutella.Technical Report SSL-00-63,Xerox PARC, (2000).

Google Scholar

[3] E.Ader and B.A. Huberman. Free riding on Gu\nutella.Technical Report,SSL-00-63.Palo Alto, CA,USA: Internet ECOLOGIES Area Xerox Palo Alto Research Center. Tit-for-tat(2002).

DOI: 10.4135/9781412950657.n257

Google Scholar

[4] S.Saroiu,P.Gummadi and S.Gribble. A messurement study of peer-to-peer file sharing system. Proceedings of the SPIE,Multimedia Computing and Networking 2002. San Jose, Vol.156-170(2001).

DOI: 10.1117/12.449977

Google Scholar

[5] M.Feldman and J. Chuang . ACM SIGecom Exchange, Vol.41-50( 2005),p.15.

Google Scholar

[6] Y.B. Tang and H.M. Wang. Proc of the IEEE Conf on E-Commerce, Vol.:41-50(2005),p.15.

Google Scholar

[7] R.Lakshmish, Ling Liu. Free Riding:A new Challenge to Peer-to-Peer File Sharing System.

Google Scholar

[8] Xi Liu, Jun Liu and Chunyan Zhu.Applied Mechanics and Materials Vol.1234-1238 (2012),p.138

Google Scholar

[9] Xi Liu and Chunyan Zhu. International Conference on Computational Intelligence and Software Engineering170-174 (2011).

Google Scholar

[10] Xiaolei Li and Zhijiang Shao. Based on Autonomous optimization mode: fish school algorithm (Systems engineering theory and practice, China 2002).

Google Scholar