Presenting a Cloud Computing Model in Applying Attitudes Based on Bird Particle Expansion Algorithm (PSO) in Monitoring the Threats of Banking Systems and Counterfeit Accounts

Dr.Alireza AshouriRoudposhti¹

1) Graduate of the Specialized Doctorate in Business Management - Marketing Management, Islamic Azad University, Science and Research Branch, Iran -

IOI Code : XCAZ-EHGEA
Publication : 2nd. International Congress on science & Engineering - paris(parisconf.com)
Abstract :
    Advances in technology and the advent of the Internet have led to the expansion of electronic banking and its rapid replacement by traditional approaches in various countries. So today, there are few people who do not enjoy the benefits of using web-based systems. With this implementation, electronic approaches require significant infrastructure. Meanwhile, the cloud computing system has significantly reduced the need for this infrastructure. The benefits of using the cloud system in financial management and banking are many and are a turning point in digital banking. However, the issue of cloud security is a major concern. Artificial intelligence technologies, especially meta-innovative algorithms such as bird particles (PSO), have been successfully used in cloud network security assessment. Per 100,000 bank accounts) that the results of the model have been able to separate and classify fake accounts (the cause of intrusion into network security) from normal accounts with high accuracy. By identifying these accounts and financial transactions, it will be easy to track and prevent corruption.

Keywords : financial management artificial intelligence cloud computing banking