Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic-Reference-Cited by-同舟云学术

Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic

Published: Issue: Volume: Page:44-50
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Elovici Yuval,Shabtai Asaf,Moskovitch Robert,Tahan Gil,Glezer Chanan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74565-5_5.pdf

Reference15 articles.

1. NCSA Study, http://www.staysafeonline.info/pdf/safety_study_2005.pdf

2. Symantec Internet Security Threat Report (January-June 2004), www.symantec.com

3. The Danger of Spyware, Symantec Security Response (June 2003), http://www.symantec.com

4. Symantec 2006 Security Report, http://www.symantec.com/specprog/threatreport/entwhitepaper_symantec_internet_security_threat_report_x_09_2006.en-uspdf

5. Tahan, G., Glezer, C., Elovici, Y.: eDare- Early Detection Alert and Response to Electronic Threats, Working Paper, Deutsche Telekom Labs at Ben Gurion University

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