SecuNetwork:A Packet Based Secure IDS System Using Machine Learning

Abstract

Intrusion Detection is that the task of detection, preventing and probably reacting to the attack and
intrusions during a network based mostly laptop systems. In the literature many machine-learning paradigms are
projected for developing associate Intrusion Detection System. This paper proposes associate Artificial Neural Network
approach for Intrusion Detection. A Feed Forward Neural Network trained by Back Propagation algorithmic program is
developed to classify the intrusions employing a prole information set (ten p.c of the KDD Cup ninety nine Data) with the
data associated with the pc network throughout traditional behav- ior and through Intrusive (Abnormal) behavior. check
result shows that the proposed approach works well in detection attacks accurately with less false positive and negative
rate and it's reminiscent of those according in the literature.