Approaching ad hoc wireless networks with autonomic computing

A misbehavior perspective

authored by

Martin Drozda, Helena Szczerbicka, Thomas Bessey, Matthias Becker, Rainer Barton

Abstract

We review recent approaches to dealing with misbehavior in ad hoc wireless networks. We focus on a specific class of solutions that are based on autonomic computing. This class is motivated by the very efficient and complex system that is able to protect the health of humans against an amazing set of malicious extraneous attacks. We also provide the reader with a summary of misbehavior that is currently considered in the literature. Certain aspects of machine learning and game theory with relevance to misbehavior detection are reviewed as well. Based on relevant design properties of Artificial immune systems motivated by human immunity we present an outline of a four-layer architecture for ad hoc wireless networks. The purpose of this architecture is to impose a high degree of survivability against misbehavior of nodes.

Organisation(s)

Institute of Systems Engineering
Human-Computer Interaction Section  

Type

Conference contribution

Pages

723-733

No. of pages

11

Publication date

2005

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Networks and Communications

Sustainable Development Goals

SDG 3 - Good Health and Well-being