Web robot detection with semi-supervised learning method
Authors
Dong Wang, Lei Xi, Hui Zhang, Hebing Liu, Hao Zhang, Ting Song
Corresponding Author
Dong Wang
Available Online August 2015.
- DOI
- 10.2991/ic3me-15.2015.407How to use a DOI?
- Keywords
- Web robot detection, Semi-supervised learning, Support Vector Machine
- Abstract
Web robot is an automated information gathering program that has brought a lot of problems such as information leakage, resource occupation and network security threaten. It is necessary to effectively detect and control the web access comes from web robots. Summarizes the existing categories of web robot detection method, we propose a new detection method with semi-supervised support vector machine. The experiments based on the same test data set are presented to show that the new method is superior to other robot detection methods.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dong Wang AU - Lei Xi AU - Hui Zhang AU - Hebing Liu AU - Hao Zhang AU - Ting Song PY - 2015/08 DA - 2015/08 TI - Web robot detection with semi-supervised learning method BT - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering PB - Atlantis Press SP - 2123 EP - 2128 SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.407 DO - 10.2991/ic3me-15.2015.407 ID - Wang2015/08 ER -