Studies on TBRPF Routing Algorithm and Detection of Routing Loop Attack in Mobile Ad-Hoc Network

Abstract

At present, the application Mobile Ad-hoc Network (MANET) is increasing at a steady pace. The basic problem with MANET lies in its ad hoc nature. The lack of infrastructures in MANET makes the detection and control of security hazards all the more difficult. In this paper, an attempt has been made to study the various attacks in MANET. The focus is mainly on the routing-loop attack which is one of the possible attacks in ad hoc networks. In a routing-loop attack, a packet may circulate around a loop for some time before its TTL (Time To Live) or Hop count field goes to zero. Even when only a small portion of the traffic enters these loops and only for a brief time, effect is impact on surrounding medium and traffic, thus degrading network performance. In order to prevent this kind of attack, it is crucial to detect the abnormality that occurs during the attack. In conventional schemes, anomaly detection is achieved by defining the normal state from static training data. However, in mobile ad hoc networks where the network topology dynamically changes, such static training method could not be used efficiently. In this paper, I propose an anomaly Detection scheme using dynamic training method in which sequence number of each packet in transit is calculated each time to discard an errant packet.