Exploring social relations for the intrusion detection in ad hoc networks

Wei Wang; Hong Man

doi:10.1117/12.818142

13 April 2009 Exploring social relations for the intrusion detection in ad hoc networks

Wei Wang, Hong Man

Proceedings Volume 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009; 734402 (2009) https://doi.org/10.1117/12.818142
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Wei Wang and Hong Man "Exploring social relations for the intrusion detection in ad hoc networks", Proc. SPIE 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 734402 (13 April 2009); https://doi.org/10.1117/12.818142

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available