Biologically inspired artificial intrusion detection system for detecting wormhole attack in MANET

• Published in: Wireless networks 2014-05, Vol.20 (4), p.563-578
• Main Authors: Sundararajan, T. V. P., Ramesh, S. M., Maheswar, R., Deepak, K. R.
• Format: Article
• Language: English
• Subjects: Access methods and protocols, osi model; Ad hoc networks; Algorithms; Analysis; Antigens; Applied sciences; Bone marrow; Communications Engineering; Computer Communication Networks; Computer information security; Computer networks; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Electrical Engineering; Engineering; Equipments and installations; Exact sciences and technology; Immune system; Intrusion; Intrusion detection systems; IT in Business; Lymphocytes; Memory and file management (including protection and security); Memory organisation. Data processing; Mobile communication systems; Mobile radiocommunication systems; Networks; Peptides; Radiocommunications; Routing; Routing (telecommunications); Sensors; Software; Studies; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Wireless networks; Wormholes
• ISSN: 1022-0038; 1572-8196
• DOI: 10.1007/s11276-013-0623-8

A mobile ad hoc network (MANET) does not have traffic concentration points such as gateway or access points which perform behaviour monitoring of individual nodes. Therefore, maintaining the network function for the normal nodes when other nodes do not forward and route properly is a big challenge. One of the significant attacks in ad hoc network is wormhole attack. In this wormhole attack, the adversary disrupts ad hoc routing protocols using higher bandwidth and lower-latency links. Wormhole attack is more hidden in character and tougher to detect. So, it is necessary to use mechanisms to avoid attacking nodes which can disclose communication among unauthorized nodes in ad hoc networks. Mechanisms to detect and punish such attacking nodes are the only solution to solve this problem. Those mechanisms are known as intrusion detection systems (IDS). In this paper, the suggested biological based artificial intrusion detection system (BAIDS) include hybrid negative selection algorithm (HNSA) detectors in the local and broad detection subsection to detect anomalies in ad hoc network. In addition to that, response will be issued to take action over the misbehaving nodes. These detectors employed in BAIDS are capable of discriminating well behaving nodes from attacking nodes with a good level of accuracy in a MANET environment. The performance of BAIDS in detecting wormhole attacks in the background of DSR, AODV and DSDV routing protocols is also evaluated using Qualnet v 5.2 network simulator. Detection rate, false alarm rate, packet delivery ratio, routing overhead are used as metrics to compare the performance of HNSA and the BAIDS technique.