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A hierarchical IDS model for MANET based on weighted clustering with self-recommendation

LI Sheng-guang1,2;LIU Jian-wei1,2;LI Hui2;ZHANG Qi-shan1
  

  1. (1. School of Electronic and Information Eng., BeiHang Univ., Beijing 100083, China;2. Ministry of Edu. Key Lab. of Computer Networks and Information Security, Xidian Univ., Xi′an 710071, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20

Abstract: To solve the problems such as large network consumption and weak expansibility, the paper presents a scheme for layered weighted self-recommendation clustering Intrusion Detection System(IDS) according to the nature of Ad Hoc networks. In the scheme, nodes compete for cluster headers based on their weighted capability parameters, which makes the network layered. In the layered clustering network, cluster members collect IDS data, cluster headers exert judgments, and they collaborate with each other to complete intrusion detection. Then, we analyze in detail the algorithm for selection and the process of self-recommendation and competition of cluster headers. Finally, we use the emulator to simulate the process, and the result shows that the scheme is feasible.

Key words: mobile Ad Hoc networks, intrusion detection system, hierarchical model, layered weighted self-recommendation clustering

CLC Number: 

  • TP393