¡@Including of HTML, client-side script, and other relative technology, Dynamic HTML (DHTML) is a mechanism of creating dynamic contents in a web page. Nowadays, because of the demand of dynamic web pages and the diffusion of web applications, attackers get a new, easily-spread, and hard-detected intrusion vector ¡Ð DHTML. And commercial anti-virus softwares, commonly using pattern-matching approach, still have weakness against commonly obfuscated malicious DHTML.
¡@According to this condition, we propose a new detective algorithm Model-based Reasoning (MoBR), basing on the respects of model and reasoning, that is resilient to common obfuscations used by attackers and can correctly determine whether a webpage is malicious or not. Through describing text and semantic signatures, we constructs the model of a malicious DHTML by the mechanism of templates. Experimental evaluation by actual DHTML demonstrates that our detection algorithm is tolerant to obfuscation and perform much superior to commercial anti-virus softwares. Furthermore, it can detect variants of malicious DHTML with a low false positive rate.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0821107-114320 |
| Date | 21 August 2007 |
| Creators | Lin, Shih-Fen |
| Contributors | D. J. Guan, Chia-Mei Chen, Jinn-Shing Cheng, Bing-Chiang Jeng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0821107-114320 |
| Rights | campus_withheld, Copyright information available at source archive |
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