Title :
A phishing sites blacklist generator
Author :
Sharifi, Mohsen ; Siadati, Seyed Hossein
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
fDate :
March 31 2008-April 4 2008
Abstract :
Phishing is an increasing web attack both in volume and techniques sophistication. Blacklists are used to resist this type of attack, but fail to make their lists up- to-date. This paper proposes a new technique and architecture for a blacklist generator that maintains an up-to-date blacklist of phishing sites. When a page claims that it belongs to a given company, the company´s name is searched in a powerful search engine like Google. The domain of the page is then compared with the domain of each of the Google´s top- 10 searched results. If a matching domain is found, the page is considered as a legitimate page, and otherwise as a phishing site. Preliminary evaluation of our technique has shown an accuracy of 91% in detecting legitimate pages and 100% in detecting phishing sites.
Keywords :
Internet; computer crime; search engines; Web attack; phishing sites blacklist generator; search engine; Computer architecture; Computer crime; Electronic mail; Information filtering; Information filters; Internet; Resists; Search engines; Steel; Uniform resource locators;
Conference_Titel :
Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on
Conference_Location :
Doha
Print_ISBN :
978-1-4244-1967-8
Electronic_ISBN :
978-1-4244-1968-5
DOI :
10.1109/AICCSA.2008.4493625