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Study Of Webpage-Trojan Detection Technology

Posted on:2013-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:M FuFull Text:PDF
GTID:2218330371960716Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
As the rapid development of Internet technology, webpage which has trait of intuitiveeasy operation and abundance information gradually becomes the main way for people toobtain and release information. Many websites provide people with a rich variety ofinformation at the same time suffer from all sorts of threats. There are many event casesof Internet applications attacking, and 90% of them transmitted by webpage.Through the analysis of the existing web Trojan detection techniques, from the mainmethod of webpage code review, this paper designs a web Trojan detection system basedon webpage code review. Using the method of XML DOM document object modelanalysis and order reading the webpage source code, this paper extracts the trait of thewebpage Trojan, and builds a DOM tree document objects structure. This paper uses thetype trait of the webpage Trojan as keywords to search the tree node. The feature library ofwebpage Trojan is designed on the trait of webpage source code after attacking bywebpage Trojan. Through the review of static page code, the system finds the attackingbehavior of the hidden Trojan. The test can effectively avoid threat before the execution ofcode. It does not need a huge Trojan database, and has high efficiency of detection.Finally, based above research, this pager designs a detection system of the webpageTrojan. Through detecting the webpage Trojan on a target site file, the detection systemdemonstrated to review the webpage code method is feasible. The aim is to improve thewebpage Trojan detection accuracy and efficiency, and promote intelligent testing in theactual detection. This system can reduce the intensity of the work related to personnel, andhas some practical value in the test of website documents.
Keywords/Search Tags:source code, DOM, webpage Trojan, trait detection
PDF Full Text Request
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