Electronic Detection Systems Is High Rate Of False Alarms

1838 Words8 Pages
As computer attacks are becoming more and more difficult to identify the need for better and more efficient intrusion detection systems increases. The main problem with current intrusion detection systems is high rate of false alarms. Distributed Denial of Service (DDoS) attacks are large-scale cooperative attacks launched from a large number of compromised hosts called Zombies, Which are a major threat to Internet services. Therefore, keeping this problem in view here presents various significant areas where genetic algorithm techniques seem to be a strong technique for detecting and preventing DDoS attack. Our purpose of this work is to examine how to integrate multiple intrusion detection sensors in order to minimize the number of incorrect alarms.so a brief introduction to the parameters and evolution process of a GA will be provided by this process and how to implement it in real IDS.

Keywords: Distributed Denial of Service attack, Genetic Algorithm, Zombies, intruders ,intrusion detection INTRODUCTION
The main problem with current intrusion detection systems is the high rate of false alarms triggered off by attackers. Effective way of protecting the network against malicious attacks is the problem in both area of research and the computer network managing professionals. Improved monitoring of malicious attacks will require integration of multiple monitoring systems. In our current project we are analyzing potential benefits of distributed multi sensor
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