A Novel Approach to Deep Packet Inspection for Intrusion Detection

Intrusion detection and prevention is an integral part of Deep packet inspection. There are many methods and algorithms to detect signatures; each has its own merits and limitations. The measure of this time, accuracy and space requirement. All methods and algorithms are enhanced with technology revolutions. The development in anomaly and misuse detection in this decade is crucial as web services grow vast. Managing secure network is a challenge today. The objectives vary according to the infrastructure management and security policy. There are various ways to identify payload traffic using DPI, Network security, privacy and QoS. The functions of DPI are protocol detection, anti-virus, anti-malware and IDS/IPS. The detection engine may support by a signatures or heuristics. Most of the algorithms do training and testing separately, it takes approximately double time. The paper suggests a new model to improve performance of deep packet inspection for Intrusion detection system.