Paper Info
Title
An artificial immune system approach with secondary response for misbehavior detection in mobile ad hoc networks.
Abstract
In mobile ad hoc networks, nodes act both as terminals and information relays, and they participate in a common routing protocol, such as dynamic source routing (DSR). The network is vulnerable to routing misbehavior, due to faulty or malicious nodes. Misbehavior detection systems aim at removing this vulnerability. In this paper, we investigate the use of an artificial immune system (AIS) to detect node misbehavior in a mobile ad hoc network using DSR. The system is inspired by the natural immune system (IS) of vertebrates. Our goal is to build a system that, like its natural counterpart, automatically learns, and detects new misbehavior. We describe our solution for the classification task of the AIS; it employs negative selection and clonal selection, the algorithms for learning and adaptation used by the natural IS. We define how we map the natural IS concepts such as self, antigen, and antibody to a mobile ad hoc network and give the resulting algorithm for classifying nodes as misbehaving. We implemented the system in the network simulator Glomosim; we present detection results and discuss how the system parameters affect the performance of primary and secondary response. Further steps will extend the design by using an analogy to the innate system, danger signal, and memory cells.
Year
DOI
Venue
2005
10.1109/TNN.2005.853419
IEEE Transactions on Neural Networks
Keywords
Field
DocType
network simulator glomosim,routing protocol,artificial,common routing protocol,immune,artificial immune system approach,dynamic source routing,secondary response,biology,innate system,natural counterpart,detects new misbehavior,glomosim,ad hoc,routing protocols,system parameter,detection,clonal selection,mobile ad hoc networks,adaptive,natural immune system,artificial immune system,ad hoc networks,mobile,misbehavior detection systems,mobile computing,node misbehavior,misbehavior,learning,misbehavior detection system,selection,network simulator,negative selection,immune system,mobile ad hoc network
Mobile ad hoc network,Artificial immune system,Dynamic Source Routing,Computer science,Computer network,Ad hoc wireless distribution service,Adaptive quality of service multi-hop routing,Optimized Link State Routing Protocol,Wireless ad hoc network,Routing protocol
Journal
Volume
Issue
ISSN
16
5
1045-9227
Citations 
PageRank 
References 
52
2.43
8
Authors
2
Name
Order
Citations
PageRank
Slavisa Sarafijanovic1958.20
Jean-Yves Le Boudec25075471.48