Rule-based Classification for Web Robots

Jungkee Kim¹

¹Sungkonghoe University, Seoul, Korea

Abstract

The Internet provides a general communication environment for resource sharing and Web is an example of a communication medium used for information representation and exchange on the Internet. Many organizations maintain Web servers which can collect the access logs of the Web users. These access logs provide a valuable source of information about the visitors' access patterns in the Web site, but Web robots may mislead the analysis of the access logs. Despite of advances in Web robot detection techniques, this paper propose a set of key components necessary for robot classification based on the access logs and provides a case study of the rule-based classification based on the proposed robot classification algorithm.

Keywords

• Web Robot Classification Expert System Web Logs

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Cite this Article as Follows

Jungkee Kim. Rule-based Classification for Web Robots. International Conference on Grid and Distributed Computing (2019): 02. Print.