An Intelligent Intrusion Detection and Prevention System based on connection rate limitersAn Intelligent Intrusion Detection and Prevention System based on connection rate limiters

Prajitha Bussa Reddy, Senthil Kumar Ramadoss, Gulam Mohiddin Illauddin Kamaluddin, Muruganantham Veeraiyan

Abstract


An sophisticated  intelligent intrusion detection and prevention system is proposed here, which works based on network connection rates and which can adaptively learns normal network behaviour and then response to anomalous connections in a way that will prevent large scale network epidemics. Since the fundamental security measures for detecting intrusions and preventing network systems such as firewalls and antivirus software’s are effective, but not adaptive as they require human intervention to set up firewall rules or to create virus signatures, these systems are inefficient in responding to new methods of attacks and infections which are unknown to them. An intelligent intrusion detection and prevention system (IIDS) which is a promising and novel solution is presented here that limits the rate at which computers can make new network connections, known as rate limiters. The experimental results obtained by applying this approach demonstrate that the proposed IIDS performs exceptionally in terms of accuracy in detecting and killing anomalous attacks.


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