A Probabilistic Gossip-based Secure Protocol for Unstructured P2P Networks

被引：2
|
作者：
Srivastava, Anubhava [1 ]
Ahmad, Parvez [2 ]
机构：
[1] United Coll Engn & Res, Dept Comp Sci & Engn, Allahabad, Uttar Pradesh, India
[2] Natl Inst Technol, Dept Elect Engn, Patna, Bihar, India
来源：
1ST INTERNATIONAL CONFERENCE ON INFORMATION SECURITY & PRIVACY 2015 | 2016年 / 78卷
关键词：
Unstructured P2P; Gossip-based Protocols; Hub Attack; Probabilistic Model;
D O I：
10.1016/j.procs.2016.02.122
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Gossip based communication is an efficient tool to manage unstructured decentralized Peer-to-Peer (P2P) overlay connectivity. Such unstructured overlay connectivity is prone to security risks. Few malicious nodes are able to isolate all peer of the entire overlay as in Hub attack. Several existing security protocols such as SPSS, TooLate, and S-Gossip have dealt with this Hub attack. A probabilistic gossip-based secure protocol is introduced to handle this attack efficiently. It senses faulty neighbours before gossip with high probability. It uses a single control table to seize the malicious nodes. The comparison shows that the effects of the proposed security protocol are better than others. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码：595 / 602
页数：8
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