Manuscript Number : CSEIT1722350
Securing The Peers Against Sybil Attack Using Sybil Trust
Authors(3) :-Ponemaharani D, Siddique Ibrahim S. P., Kirubakaran R The work is based on networking to predict a trust to establish Peer to peer (P2P) e-commerce Electronic commerce or ecommerce is a term for any type of business, or commercial transaction that involves the transfer of information through the Internet applications exist at the other end of the Internet with vulnerabilities to passive and active attacks. The attacks occur using interactions between the trading peers as a transaction takes place. In this paper propose a Sybil attack, an active attack, it means some data is missing in transferring the data from one place to another place this is called active attack. And passive attack means data is not missing in transferring the data from one place to another place this is called passive attack. a central authority control is used in existing system. In this proposed system two techniques we are using Sybil trust central authority control and Homogeneous configuration. In this approach, duplicated Sybil attack peers can be identified as the neighbor peers become familiar and hence more trusted to each other. Security and performance analysis shows that Sybil attack can be minimized by this proposed neighbor similarity trust. Each peer has an identity, which is either honest or Sybil.
Ponemaharani D Peer to peer (P2P), Sybil attack, active attack, passive attack. Publication Details Published in : Volume 2 | Issue 2 | March-April 2017 Article Preview
Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Siddique Ibrahim S. P.
Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Kirubakaran R
Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Date of Publication : 2017-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1071-1075
Manuscript Number : CSEIT1722350
Publisher : Technoscience Academy