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Increasing the number of intrusions 1 and attacks 2 especially in large scale and distributed public data networks has initiated a new phenomenon in cyberspace's security. It presents a novel approach using cooperative co-evolutionary immune system for intrusion detection in data networks. This is a machine learning method based on genetic algorithm and co-evolutionary immune system where the detectors can discriminate the incidents3 and non-incidents in a distributed environment. It has prepared a prototype of CoCo-ISD4 in a Jini platform running grid computing 5 in a distributed environment.
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