Corruption minimization systems based on the detection of abnormal financial transactions: A Perspective of Bangladesh

Md. Hafizur Rahman 1, 4, *, B. M. Salahuddin 2, Rebina Ferdous 3, M. Naderuzzaman 4 and M. A. Kashem 4

1 ICT Cell, Jagannath University, Dhaka, Bangladesh.
2 Department of Computer Science & Engineering, Jagannath University, Dhaka, Bangladesh.
3 Genome Research Center, Bangladesh Jute Research Institute, Dhaka, Bangladesh.
4 Department of Computer Science & Engineering, Dhaka University of Engineering and Technology, Gazipur, Bangladesh.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 2589–2596.
Article DOI: 10.30574/ijsra.2024.13.1.1944
Publication history: 
Received on 02 September 2024; revised on 13 October 2024; accepted on 16 October 2024
 
Abstract: 
Corruption is a pervasive and detrimental phenomenon in Bangladesh, affecting both moral values and economic prosperity. Upon reviewing the "quarterly anti-corruption commission report" released by the anti-corruption commission, it appears that corruption is widespread across all sectors in Bangladesh. We cannot build a corruption-free Bangladesh by changing ethics overnight. We do not want to change our moral values, but we want to build a corruption-free Bangladesh. I think we have not made much progress in eradicating or curbing corruption. “Money is the root of corruption." 80% of corruption is for money, so only monitoring money transactions can reduce corruption. Monitoring of money transactions requires migration to a cashless society. In a cashless society, financial transactions are conducted without the use of physical money, such as banknotes and coins. Instead, transactions are completed through digital means, such as credit and debit cards, mobile payments, and online banking. Digital payments are often faster and more convenient than cash transactions. Corruption can be reduced by using the proposed artificial intelligence-based system to detect anomalous digital transactions.
 
Keywords: 
Corruption; Cashless society; Artificial intelligence; Digital transactions; Data set
 
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