Paper title

“Improved Detection System of Denial of Service Attack”

Authors: Omar I. Alsaleh   and    Abdulkader A. Alfantookh
Affiliation: Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Abstract  —  A problem with current intrusion detection systems is that they have many false positive and false negative events. Most of the existing Intrusion detection systems implemented nowadays depend on rule-based expert systems where new attacks are not detectable. In this paper, a possible application of Neural Networks is presented as a component of an intrusion detection system.