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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hdl_36956.pdf | 141.69 kB | Publisher's PDF | View/Open |
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