Survey on Wormhole Attack Detection Method in MANET

In Mobile Adhoc Network applications are deployed, security emerges as a central requirement. There are many attacker attacks on the MANET. In this paper we introduce avoid wormhole attack. . The wormhole attack is possible even if the attacker has not compromised any hosts, and even if all communication provides authenticity and confidentiality. In the wormhole attack, an attacker records packets (or bits) at one location in the network, tunnels them (possibly selectively) to another location, and retransmits them there into the network. Security in mobile ad hoc networks is difficult to achieve, because of the dynamic topologies, limited resources, the absence of a certification authority and the lack of a centralized monitoring point [1]. Most of the attacks in MANETs are routing protocol attacks. The wormhole effect is caused by attempts to draw all network traffic to malicious nodes that broadcast fake shortest path routing information. The wormhole nodes should be detected and detached as early as possible. Incremental Flexible Frequency Discretization (IFFD) is a recently proposed discretization approach for Naive Bayes (NB). IFFD performs satisfactory by setting the minimal interval frequency for discretized intervals as a fixed number. In this paper, we first argue that this setting cannot guarantee that the selecting MinBinSize is on always optimal for all the different datasets. So the performance of Naive Bayes is not good in terms of classification error. We thus proposed a sequential search method for NB: named Flexible IFFD. Experiments were conducted on 4 datasets from UCI machine learning repository and performance was compared between NB trained on the data discretized by FIFFD, IFFD, and PKID.