Neighbor similarity trust against sybil attack in P2P E-Commerce

Felix Musau, Guojun Wang, Song Guo, Muhammad Bashir Abdullahi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Peer to peer (P2P) e-commerce applications exist at the edge of the Internet with vulnerabilities to passive and active attacks. These attacks have pushed away potential business firms and individuals whose aim is to get the best benefit in e-commerce with minimal losses. The attacks occur during interactions between the trading peers as a transaction takes place. In this paper, we propose how to address Sybil attack, which is a kind of active attack. The peers can have bogus and multiple identity to fake their own ones. Most existing work, which concentrates on social networks and trusted certification, has not been able to prevent Sybil attack peers from participating in transactions. Our work exploits the neighbor similarity trust relationship to address Sybil attack. In this approach, referred to as SybilTrust, duplicated Sybil attack peers can be recognized as the neighbor peers become acquainted and hence more trusted to each other. Security and performance analysis shows Sybil attack can be minimized by our proposed neighbor similarity trust.
Original languageEnglish
Title of host publicationProceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012
Pages547-554
Number of pages8
DOIs
Publication statusPublished - 28 Nov 2012
Externally publishedYes
Event9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012 - Fukuoka, Japan
Duration: 4 Sep 20127 Sep 2012

Conference

Conference9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012
Country/TerritoryJapan
CityFukuoka
Period4/09/127/09/12

Keywords

  • Collusion attack
  • Neighbor similarity.
  • P2P
  • Sybil attack
  • Trust

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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