UP Paper 1794 US-W-JDOWN
Intrusion Detection Schemes for Sparsely Connected Ad Hoc Networks
Yang,Peng Lehigh University
Chuah,Mooi ChooLehigh University
Several approaches have been proposed for intrusion detection in mobile adhoc networks. Most of the approaches assume that there are sufficient neighbors to help monitor the transmissions and receptions of data packets by other nodes to detect abnormality. However, in a sparsely connected adhoc network, nodes usually have very small number of neighbors. So, current approaches may not be viable in such environments. Recently, stored-and-forward DTN concepts have been proposed for maintaining communications in sparsely connected adhoc network environments. In this paper, we first evaluate the performance of existing intrusion detection mechanism on sparsely connected networks. Then, we present a new energy-efficient ferry-based intrusion detection mechanism that we have proposed for sparsely connected adhoc networks and disruption tolerant networks. Our simulation results indicate that the new ferry-based scheme that we propose is more effective than the traditional neighbor monitoring and intermediate probing schemes that are used for mobile adhoc networks in intrusion detection.

Dr Mooi Choo Chuah is an associate professor in CSE dept at Lehigh University. Before joining Lehigh, she was a DMTS and Technical Manager at Bell Labs, Lucent Technologies where she spent 12 years designing next generation wireless systems. She has been awarded 41 US patents, 1 Canadian patent in the area of architecture and protocol design for next generation wireless systems, IP/MPLS, wireless MAC, resource and mobility management schemes. Her current research interests are adhoc/sensor network design, disruption tolerant network design, network security.