An innovation development of smart data protection mechanisms and its related parameters in financial institutions
Khushi Khushi, Mohit Kumar Sharma · 2022
Confidential information is of great interest to competing firms. This causes aggression with attacks. Many problems underestimate the importance of the threat, and as a result, it can lead to collapse and bankruptcy for the company. Even a single case of malpractice can result in millions in damages and loss of customer trust. Threats are subject to data on organization structure, status and operations. Sources of such threats are its competitors, corrupt officials and criminals. In this paper, a smart data protection mechanism was proposed to enhance the data security in the financial institutions. They are introduced with certain value protected information as well as modify it in order to cause financial damage. Even 20% of such a decision can provide information leakage. Sometimes loss of company secrets can be due to inexperience of employees or lack of security systems.