Nature Inspired Feature Selection Approach for Effective Intrusion Detection
نویسندگان
چکیده
منابع مشابه
Feature 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 کاملAn intelligent CRF based feature selection for effective intrusion detection
As the internet applications are growing rapidly, the intrusions to the networking system are also becoming high. In such a scenario, it is necessary to provide security to the networks by means of effective intrusion detection and prevention methods. This can be achieved mainly by developing efficient intrusion detecting systems that use efficient algorithms which can identify the abnormal act...
متن کاملFeature Selection for Effective Anomaly-Based Intrusion Detection
Intrusion Detection system (IDs) has become the main research focus in the area of information security. Most of the existing IDs use all the features in the network packet to evaluate and look for known intrusive patterns. Some of these features are irrelevant and redundant. The drawback of this approach is a lengthy detection process and degrading performance of an ID system. In this paper a ...
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i42/101555