A Study on the Malicious Web Page Detection Systems using Real-Time Behavior Analysis


The KIPS Transactions:PartC, Vol. 19, No. 3, pp. 185-190, Jun. 2012
10.3745/KIPSTC.2012.19.3.185,   PDF Download:

Abstract

The recent trends in malwares show the most widely used for the distribution of malwares that the targeted computer is infected while the user is accessing to the website, without being aware of the fact that, in which the harmful codes are concealed. In this thesis, we propose a new malicious web page detection system based on a real time analysis of normal/abnormal behaviors in client-side. By means of this new approach, it is not only the limitation of conventional methods can be overcome, but also the risk of infection from malwares is mitigated.


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Cite this article
[IEEE Style]
I. C. Kong, J. I. Cho, T. S. Son, J. S. Moon, "A Study on the Malicious Web Page Detection Systems using Real-Time Behavior Analysis," The KIPS Transactions:PartC, vol. 19, no. 3, pp. 185-190, 2012. DOI: 10.3745/KIPSTC.2012.19.3.185.

[ACM Style]
I Cksun Kong, Jae Ik Cho, Tae Shik Son, and Jong Sub Moon. 2012. A Study on the Malicious Web Page Detection Systems using Real-Time Behavior Analysis. The KIPS Transactions:PartC, 19, 3, (2012), 185-190. DOI: 10.3745/KIPSTC.2012.19.3.185.