NDLI: A Sampling Method for Mining User's Preference

Content Provider	IEEE Xplore Digital Library
Author	Jianfeng Zhang Weihong Han Yan Jia Peng Zou
Copyright Year	2012
Abstract	Recent years, society relies heavily on the network infrastructure and information system. Protecting these assets from frequently network attacks needs to deploy some distributed security systems. However the amount of data produced by many distributed security tools can be overwhelming. So it's very difficult and limited to get the most risky alert through manual process based on the huge network alerts with many attributes. The common method used to rank the alerts is scoring function, the higher the score, the more risky of the alert. Our motivation is that many times, user can not precisely specify the weights for the scoring function as their preference in order to get the preferable Ranking. In this paper, we propose a sampling method to mining user's preference. Based on this preference, the most risky alerts can be easily ranked for emergency response. An extensive performance study using both synthetic and real datasets is reported to verify its effectiveness and efficiency.
Starting Page	232
Ending Page	236
File Size	198749
Page Count	5
File Format	PDF
ISBN	9781467326308
DOI	10.1109/DCABES.2012.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Accuracy Top K Ranking Preference Sampling methods Educational institutions Network Security Evaluation Vectors Computer networks Security Sampling
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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