Abstract
Due to the development of in the field of computer networks, Mobile ad hoc network (MANET) has emerged as a technology to provide anywhere, anytime communication. Due to its deployment nature, MANETs are more vulnerable to malicious attack. Authentication and encryption techniques can be used as the first line of defense for reducing the possibilities of attacks. However, these approaches have several drawbacks and they are designed for a set of well known attacks. These techniques cannot prevent newer attacks. Hence there is a critical need for cross layer detection technology. This paper proposes efficient cross layer intrusion detection architecture to discover the malicious nodes and different types of DoS. This proposed approach implements a fixed width clustering algorithm for efficient detection of the anomalies in the MANET traffic and also generated different types of attacks in the network. In the association process, the Fast Apriori algorithm is utilized in association process; it increases efficiency of detecting intrusion in MANET.
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