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Identification and characterization of crawlers through analysis of web logs

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dc.contributor.author Algiriyage, N
dc.contributor.author Jayasena, S
dc.contributor.author Dias, G
dc.contributor.author Perera, A
dc.contributor.author Dayananda, K
dc.contributor.author Sharma, K
dc.date.accessioned 2014-06-18T16:57:07Z
dc.date.available 2014-06-18T16:57:07Z
dc.date.issued 2014-06-18
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/10041
dc.description.abstract Web crawlers are software programs that automatically traverse the hyperlink structure of the world-wide web in order to locate and retrieve information. In addition to crawlers from search engines, we observed many other crawlers which may gather business intelligence, confidential information or even execute attacks based on gathered information while camouflaging their identity. Therefore, it is important for a website owner to know who has crawled his site, and what they have done. In this study we have analyzed crawler patterns in web server logs, developed a methodology to identify crawlers and classified them into three categories. To evaluate our methodology we used seven test crawler scenarios. We found that approximately 53.25% of web crawler sessions were from 'known' crawlers and 34.16% exhibit suspicious behavior. en_US
dc.language.iso en en_US
dc.source.uri www.iciis.org en_US
dc.title Identification and characterization of crawlers through analysis of web logs en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2013 en_US
dc.identifier.conference International Conference on Industrial and Information System [8th ms] - ICIIS 2013 en_US
dc.identifier.place Peradeniya en_US
dc.identifier.pgnos pp. 150-155 en_US


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