Intrusion Detection Using Feature Selection and Machine Learning Algorithm with Misuse Detection
نویسندگان
چکیده
منابع مشابه
Intrusion Detection Using Feature Selection and Machine Learning Algorithm with Misuse Detection
In order to avoid illegitimate use of any intruder, intrusion detection over the network is one of the critical issues. An intruder may enter any network or system or server by intruding malicious packets into the system in order to steal, sniff, manipulate or corrupt any useful and secret information, this process is referred to as intrusion whereas when packets are transmitted by intruder ove...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
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Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملFeature Selection Using a Genetic Algorithm for Intrusion Detection
We show the use of a genetic algorithm for feature subset selection over feature vectors that describe the system calls executed by privileged processes. Genetic feature subset selection significantly reduces the number of features used without adversely affecting the accuracy of the predictions.
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ژورنال
عنوان ژورنال: International Journal of Computer Science and Information Technology
سال: 2016
ISSN: 0975-3826,0975-4660
DOI: 10.5121/ijcsit.2016.8102