Abstract
A mobile adhoc network is accompanied by various cost-effective communicational benefits as well as prolonged unsolved security issues. Owing to dynamic topology, decentralized network, restrained resources, it is quite challenging to develop a security protocol which can resist maximum frequency of intrusions in mobile adhoc network. The present manuscript introduces a unique approach that is termed cognitive intelligence for assessing network intrusion (CIANI) that intends to formulate the unpredictable intelligence from the nodes in order to discretize the benign or malignant intention of an adversary. With an aid of mathematical modelling, CIANI presents a discreet modelling of cognitive intelligence system that is capable of identifying any forms of abnormal and insecure behaviour of node (be it normal or malicious). The study outcome shows CIANI to be equally providing routing security with enhance communication performance.
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