Title page for etd-0204109-163602


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URN etd-0204109-163602
Author Wan-yi Tsai
Author's Email Address No Public.
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Department Information Management
Year 2008
Semester 1
Degree Master
Type of Document
Language English
Title Malicious Web Page Detection Based on Anomaly Behavior
Date of Defense 2008-07-25
Page Count 63
Keyword
  • drive-by download
  • malicious web page
  • anomaly behavior
  • Abstract Because of the convenience of the Internet, we rely closely on the Internet to do information searching and sharing, forum discussion, and online services. However, most of the websites we visit are developed by people with limited security knowledge, and this condition results in many vulnerabilities in web applications. Unfortunately, hackers have successfully taken advantage of these vulnerabilities to inject malicious JavaScript into compromised web pages to trigger drive-by download attacks.
    Based on our long time observation of malicious web pages, malicious web pages have unusual behavior for evading detection which makes malicious web pages different form normal ones. Therefore, we propose a client-side malicious web page detection mechanism named Web Page Checker (WPC) which is based on anomaly behavior tracing and analyzing to identify malicious web pages. The experimental results show that our method can identify malicious web pages and alarm the website visitors efficiently.
    Advisory Committee
  • D. J. Guan - chair
  • Sheng-Tzong Cheng - co-chair
  • Bingchiang Jeng - advisor
  • Chia-Mei Chen - advisor
  • Files
  • etd-0204109-163602.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2009-02-04

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