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*Corresponding Author E-mail: spmanickavasugi@gmaill.com
Customers and clients of financial service providers, such as banks, credit unions, credit card firms, and investment organizations, commit their personally identifiable information (PII) to these institutions. The confidentiality of this information must be maintained at all times by these service providers. This information includes your residential address, Social Security number, banking information, contact details, and e-mail address, in addition to details on your income. Because of the high value of this intelligence on the darknet, this business is a sector which is frequently targeted by those who engage in illegal online activity. In 2019, the total value of the worldwide market for financial services was over $22 trillion. The use of other payment methods outside cash has been steadily increasing in this sector. There has been a worldwide movement toward quick payment methods, which enable fast payments in real-time, which has led to a proliferation of non-cash payment options, particularly in emerging nations where there has been an increase in internet and mobile phone use. The rise of rapid payments, online banking, and mobile applications has necessitated the development of new technologies. The increased usage of technology always results in a growth in the attack vector for the sector as well as the introduction of new vulnerabilities.
Artificial Intelligence, Finance, Deep Learning, Convolutional Neural Network, Technology, Machine Learning, Cybersecurity