NDLI: Optimized intrusion detection mechanism using soft computing techniques

Content Provider	Springer Nature Link
Author	Ahmad, Iftikhar Abdullah, Azween Alghamdi, Abdullah Hussain, Muhammad
Copyright Year	2011
Abstract	Intrusion detection is an important technique in computer and network security. A variety of intrusion detection approaches be present to resolve this severe issue but the main problem is performance. It is important to increase the detection rates and reduce false alarm rates in the area of intrusion detection. Therefore, in this research, an optimized intrusion detection mechanism using soft computing techniques is proposed to overcome performance issues. The KDD-cup dataset is used that is a benchmark for evaluating the security detection mechanisms. The Principal Component Analysis (PCA) is applied to transform the input samples into a new feature space. The selecting of an appropriate number of principal components is a critical problem. So, Genetic Algorithm (GA) is used in the optimum selection of principal components instead of using traditional method. The Support Vector Machine (SVM) is used for classification purpose. The performance of this approach is addresses. Further, a comparative analysis is made with existing approaches. Consequently, this method provides optimal intrusion detection mechanism which is capable to minimize amount of features and maximize the detection rates.
Starting Page	2187
Ending Page	2195
Page Count	9
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	52
Issue Number	4
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2011-07-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Attack Dataset Principal component analysis (PCA) Genetic algorithm (GA) Support vector machine (SVM) Detection rate False positive False negative Artificial neural network Neural network Business Information Systems Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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