Exploring social relations for the intrusion detection in ad hoc networks

Wei Wang, Hong Man

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We proposed a novel intrusion detection system in mobile ad hoc networks using the social network analysis approach, which is different from the conventional ones. Our social based IDS utilizes explored social relations for anomaly detections, which can capture and represent similar network statistics as those used in data mining based intrusion detection systems. Simulation results show that this social based IDS can effectively detect attacks with high detection rates and low false alarm rates. Further more, our system is of simpler implementation and lower system complexity than rule based anomaly IDS.

Original languageEnglish
Title of host publicationData Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009
DOIs
StatePublished - 2009
EventData Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009 - Orlando, FL, United States
Duration: 15 Apr 200916 Apr 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7344
ISSN (Print)0277-786X

Conference

ConferenceData Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009
Country/TerritoryUnited States
CityOrlando, FL
Period15/04/0916/04/09

Keywords

  • Ad Hoc Networks
  • I ntrusion Detection System
  • Social Network Analysis

Fingerprint

Dive into the research topics of 'Exploring social relations for the intrusion detection in ad hoc networks'. Together they form a unique fingerprint.

Cite this