BINSPECT: Holistic Analysis and Detection of Malicious Web Pages-Reference-Cited by-同舟云学术

BINSPECT: Holistic Analysis and Detection of Malicious Web Pages

Published:2013 Issue: Volume: Page:149-166
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Eshete Birhanu,Villafiorita Adolfo,Weldemariam Komminist

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-36883-7_10

Reference40 articles.

1. Symantec: Symantec report on attack kits and malicious websites (July 2011), http://symantec.com/content/en/us/enterprise/other_resources/b-symantec_report_on_attack_kits_and_malicious_websites_21169171_WP.en-us.pdf

2. Symantec: Symantec web based attack prevalence report (July 2011), http://www.symantec.com/business/threatreport/topic.jsp?id=threat_activity_trends&aid=web_based_attack_prevalence

3. WebSense: Websense 2010 threat report (July 2011), http://www.websense.com/content/threat-report-2010-highlights.aspx/

4. Symantec: Internet security threat report 2011 trends (April 2012), http://www.symantec.com/content/en/us/enterprise/other_resources/b-istr_main_report_2011_21239364.en-us.pdf

5. Canali, D., Cova, M., Vigna, G., Kruegel, C.: Prophiler:a fast filter for the large-scale detection of malicious web pages. In: Proceedings of WWW, pp. 197–206 (2011)

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