Feature Selection for Modeling Intrusion Detection
نویسندگان
چکیده
منابع مشابه
A 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 کاملHybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything) to the detection process. The purpose of this study is to identify important input features in building an IDS that is computationally efficient and effective. We investigated the performance of two featu...
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 کاملFeature Selection Approach for Intrusion Detection System
At present, network security needs to be concerned to provide secure information channels due to increase in potential network attacks. Intrusion Detection System (IDS) is a valuable tool for the defense-in-depth of computer networks. However, building an efficient ID faces a number of challenges. One of the important challenges is dealing with data containing a high number of features. Current...
متن کاملFeature selection for intrusion detection system
Intrusion detection is an important task for network operators in today’s Internet. Traditional network intrusion detection systems rely on either specialized signatures of previously seen attacks, or on labeled traffic datasets that are expensive and difficult to reproduce for user-profiling to hunt out network attacks. Machine learning methods could be used in this area since they could get k...
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ژورنال
عنوان ژورنال: International Journal of Computer Network and Information Security
سال: 2014
ISSN: 2074-9090,2074-9104
DOI: 10.5815/ijcnis.2014.07.08