NDLI: DDoS detection using modified K-means clustering with chain initialization over landmark window

Content Provider	IEEE Xplore Digital Library
Author	Pramana, M.I.W. Purwanto, Y. Suratman, F.Y.
Copyright Year	2015
Description	Author affiliation: Security Lab. Telkom Univ., Bandung, Indonesia (Pramana, M.I.W.; Purwanto, Y.; Suratman, F.Y.)
Abstract	Denial-of-service is a common form of network attack that affect user access right by preventing legitimate user from accessing certain information, thus giving great, disadvantage to the user and service provider. This paper present a method of denial-of-service detection using clustering technique with k-means algorithm which available to be modified and developed in many possible way. K-means algorithm used in this paper is modified using chain initialization over landmark window approach to process large amount of data and the result evaluated with detection rate, accuracy, and false positive rate. This method has been proven effective in detecting denial-of-service traffic using DARPA 98 dataset with satisfying result.
Starting Page	7
Ending Page	11
File Size	197928
Page Count	5
File Format	PDF
e-ISBN	9781479989751
DOI	10.1109/ICCEREC.2015.7337056
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-27
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Clustering algorithms Signal processing algorithms Landmark Window Modified K-Means DDoS Data mining IP networks Clustering Computer crime Convergence Chain Initialization
Content Type	Text
Resource Type	Article

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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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