A Comprehensive Survey on Approaches to Intrusion Detection System-Reference-Cited by-同舟云学术

A Comprehensive Survey on Approaches to Intrusion Detection System

Published:2012 Issue: Volume:38 Page:2063-2069
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Deepa A.J.,Kavitha V.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference14 articles.

1. D. Denning, “An Intrusion-Detection Model,” Proc. 1986 EEE Symp. Sec. Privacy, Apr. 7-9, 1986, pp. 118-31.

2. D.S. Kim and J.S. Park, “Network-Based Intrusion Detection with Support Vector Machines,” Proc. Information etworking, Network-ing Technologies for Enhanced Internet Services Int’l Conf. (ICOIN’03),pp. 747-756, 20.

3. L. Portnoy, E. Eskin, and S. Stolfo, “Intrusion Detection with Unlabeled Data Using Clustering,” Proc. ACM Workshop Data Mining Applied to Security (DMSA), 2001.

4. T. Abraham, IDDM: Intrusion Detection Using Data Mining Techniques, http://www.dsto.defence./gov.au/publications/2345/DSTO-GD-0286.pdf, 2008.

5. R. Agrawal, T. Imielinski, and A. Swami, “Mining Association Rules between Sets of Items in Large Databases,” Proc. ACM SIGMOD, vol. 22, no. 2, pp. 207-216, 1993.

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