Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/36956
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Type: Conference paper
Title: Suppressing false alarms of intrusion detection using improved text categorization method
Author: Zhang, Z.
Shen, H.
Citation: 2004 IEEE International Conference on e-Technology, e-Commerce, and e-Service: proceedings / Soe-tsyr Yuan and Jiming Liu (eds.):pp.163-166
Publisher: IEEE
Publisher Place: Online
Issue Date: 2004
ISBN: 0769520731
9780769520735
Conference Name: IEEE International Conference on e-Technology, e-Commerce, and e-Service (2004 : Taipei, Taiwan)
Statement of
Responsibility: 
Zonghua Zhang and Hong Shen
Abstract: Although some text processing techniques can be employed to intrusion detection based on the characterization of the frequencies of the system calls executed by the privileged programs, and achieve satisfactory detection accuracy, high false alarms make it hardly practicable in real life. In this paper, we modi.ed the traditional weighting method
Description: Copyright © 2004 IEEE
DOI: 10.1109/EEE.2004.1287303
Published version: http://dx.doi.org/10.1109/eee.2004.1287303
Appears in Collections:Aurora harvest 6
Computer Science publications

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