Sixth International Conference on Advances in Computing, Control and Networking - ACCN 2017
Author(s) : CHUNG-HYUN LIM, GEUK LEE, HYO-JUNG AHN, JI-HO CHO
In this paper, we propose a forgery/falsification detection technique of an web site using hyperlink information in the web site. The system crawls all hyperlink information of the web site when a user accesses to the suspicious web site that has the financial information stealing purpose. The captured multiple hyperlink information is compared with those of normal web site hyperlinks information to detect forgery/falsification. The proposed system calculates distance of the normal site hyperlink strings with captured one using Levenshtein distance algorithm to detect whether the site is normal or not. If it is determined as normal, analysis procedure is finished. But if it is determined as abnormal, a warning message is sent to the user to prevent additional financial information spill and further accidents from the forgery/falsified web site.