NDLI: Flooding Based DoS Attack Feature Selection Using Remove Correlated Attributes Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Aborujilah, A.H.S. Musa, S. Shahzad, A. Nazri, M. Alsharafi, A.
Copyright Year	2013
Description	Author affiliation: Malaysian Inst. of Inf. Technol., Univ. Kuala Lumpur, Kuala Lumpur, Malaysia (Aborujilah, A.H.S.; Musa, S.; Shahzad, A.; Nazri, M.; Alsharafi, A.)
Abstract	Flooding based DoS attack represents one of most danger attacks in computer networks. Maximizing the effectiveness of flooding based DoS Attack detection accuracy is the main concerns of many researchers. So, many of them are focusing on increasing the detection effectiveness by features reducing. However, limited research studies have concentrated on investigation the correlation between features together and its impact on DoS attack classification accuracy. Therefore and in this paper, remove correlated attributes algorithm has been proposed to select the most effective features on used in network traffic classification. Since that removing related features in a classification model minimizes the detection model error rate, It is a high likelihood that proposed model implementation increase flooding attack classification accuracy rate. In this research study, the proposed model experimental methodology and validation method has been highlighted.
Starting Page	93
Ending Page	96
File Size	176130
Page Count	4
File Format	PDF
ISBN	9781479927586
DOI	10.1109/ACSAT.2013.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Correlation Feature selection Classification accuracy Intrusion detection Feature extraction Classification algorithms Flooding based DoS Attack Floods Computer crime
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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