محمدعلی افشار کاظمی

Purpose: Electronic Tourism is one of the important components of expanding Tourism by synchronizing this industry with information technology. It has not been long since its emergence. Methodology: this field is a combination of tourism and information technology that is one of the most common types of income-generating businesses which is producing job opportunities in the modern world. The advancement of science alongside communication and information technologies presented many opportunities and threats to this field due to tech such as smartphones and sensors, virtual and augmented reality tools, NFC, RFID, etc. Findings: The disclosure of the tourists' information and the possible abuse of it is one such threat. Therefore privacy and non-disclosure of information should be important factors. Recognition of reputable sites is an important factor in solving this problem. In this study, we have presented a model for recognizing fake and phishing sites which use the CFS+PSO and a combination of Info+Ranger alongside their results to reduce the test dataset features so that it could present a model for categorizing and higher accuracy in recognizing phishing sites by using the Multilayer Perceptron method. The proposed model was successful in recognizing 95.5% of phishing sites. Counclusion: The effect of information technology on the tourism industry and the usage of internet websites for selling and providing tourism services to tourists have created new security challenges. Protecting the privacy and personal information of people and tourists is one of these challenges and the disclosure of such information could lead to abuse by unqualified people and dissatisfaction and distrust of such systems.

This study&rsquos goal is determining the accurate relationship of central bank with its environment through recognizing the conditions of this bank in four aspects of autogeny(internal authority), heterogeny (interaction), discretion(influence in environment) and detachment (organization self usage of it's resources) . This study is discovery and survey in terms of method. Collecting data tool is questionnaire. After Delphi bike, detachment variable was removed in final questionnaire and for autogeny 10 questions, heterogeny 11 and discretion 17 were designed so it can be said that content and facial validity of questionnaire are confirmed. Since Cronbach&rsquos alpha coefficient was higher than 0.7, it showed acceptable reliability of questionnaire. For analyzing data SPSS and MATLAB software were used. Results showed that there is a significant difference between ideal situation of central bank&rsquos conditions in Iran 2025 with existing situation in all three aspects of autogeny, heterogeny and discretion. There has also been significant relationship among each one of aspects of autogeny, heterogeny and discretion in ideal situation and existing one. In autogeny aspect, experts&rsquo mean was more than population&rsquos mean which showed that central bank&rsquos autogeny in Iran 2025 should be increased compared to current status. In heterogeny aspect, experts&rsquo mean was less than population&rsquos mean and it represented that central bank&rsquos heterogeny in current situation is more than what it should be and central bank should decrease its heterogeny with environment in future. In discretion aspect, experts&rsquo mean was more than population&rsquos mean and so central bank&rsquos discretion is needed to be increased in Iran 2025 compared to current status.