An Immuno-Inspired Approach to Misbehavior Detection in Ad Hoc Wireless Networks

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages

Scientific paper

We propose and evaluate an immuno-inspired approach to misbehavior detection in ad hoc wireless networks. Node misbehavior can be the result of an intrusion, or a software or hardware failure. Our approach is motivated by co-stimulatory signals present in the Biological immune system. The results show that co-stimulation in ad hoc wireless networks can both substantially improve energy efficiency of detection and, at the same time, help achieve low false positives rates. The energy efficiency improvement is almost two orders of magnitude, if compared to misbehavior detection based on watchdogs. We provide a characterization of the trade-offs between detection approaches executed by a single node and by several nodes in cooperation. Additionally, we investigate several feature sets for misbehavior detection. These feature sets impose different requirements on the detection system, most notably from the energy efficiency point of view.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An Immuno-Inspired Approach to Misbehavior Detection in Ad Hoc Wireless Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An Immuno-Inspired Approach to Misbehavior Detection in Ad Hoc Wireless Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Immuno-Inspired Approach to Misbehavior Detection in Ad Hoc Wireless Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-661466

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.