ترجمه آماده – تشخیص حمله های فیشینگ در بانکداری الکترونیکی ایرانیان

Abstract

Phishing is a method of stealing electronic identity in which social engineering and website forgingmethods are used in order to mislead users and reveal confidential information having economic value.Destroying the trust between users in business network, phishing has a negative effect on the buddingarea of e-commerce. Developing countries such as Iran have been recently facing Internet threats likephishing, whose methods, regarding the social differences, may be different from other experiences.Thus, it is necessary to design a suitable detection method for these deceits. The aim of current paper isto provide a phishing detection system to be used in e-banking system in Iran. Identifying the outstandingfeatures of phishing is one of the important prerequisites in design of an accurate system; therefore, infirst step, to identify the influential features of phishing that best fit the Iranian bank sites, a list of 28phishing indicators was prepared. Using feature selection algorithm based on rough sets theory, six mainindicators were identified as the most effective factors. The fuzzy expert system was designed usingthese indicators, afterwards. The results show that the proposed system is able to determine the Iranianphishing sites with a reasonable speed and precision, having an accuracy of 88%.