NDLI: Active Learning for Intrusion Detection

Content Provider	IEEE Xplore Digital Library
Author	Yingjie Gu Zydek, D.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Idaho State Univ., Pocatello, ID, USA (Zydek, D.) \|\| Sch. of Comput. Sci. & Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China (Yingjie Gu)
Abstract	Intrusion detection is one of the most important problems in network security. Its target is to secure internal networks by identifying unusual access or attacks. Machine learning techniques have been playing a significant role in intrusion detection. Considering the large size of training data and time-consuming labeling task, it is wise to select some informative data to train a classifier. Active learning is a family of approaches selecting samples for labeling to build classifier with maximum prediction accuracy. So it is able to improve the performance of intrusion detection while it is not time-costing and labor-consuming. In this paper, definition and some efficient query strategies of active learning are reviewed and suggested. Some popular algorithms of intrusion detection and the combination of active learning and intrusion detection are also introduced. But existing work of active learning for intrusion detection is very limited. We propose more active learning methods should be developed for intrusion detection.
Starting Page	117
Ending Page	122
File Size	249250
Page Count	6
File Format	PDF
ISBN	9781479950140
DOI	10.1109/NWRCS.2014.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Uncertainty Accuracy Active learning Intrusion detection Entropy Query strategy Labeling Uncertainty 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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