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  Published Paper Details:

  Authors

  Dr K.S. Rajesh,  Afzal Ulla,  Aman Aryan,  Ashish Ashok Naik,  Bhargav H Praksah

  Keywords

ATM, Face Recognition, Pattern Matching, Machine Learning, Rest API

  Abstract


Quick improvement in science and innovation, advancements are being developed and this has had a constructive outcome generally speaking, however different monetary foundations are as yet exposed to robberies and cheats. ATM terminals are intended to work with more straightforward withdrawal of cash for the clients. ATM lays out the security of the foundation in incredible arrangement as a result of their number of bank exchanges. Because of their accessibility and general ease of use ATMs have become exceptionally well known with overall population. The current system requires the user to insert his card into the ATM where the data of the user is collected through the help of the card and that data is authenticated with the help of the static key called as PIN. This PIN is entered by the user in the user interface of the atm machine. After the PIN gets verified the user can proceed with the further transaction activities. In the current system, anyone who knew the Personal Identification Number can use the card for transactions with or without the account holder’s approval. Because the Personal Identification Number is unchanging , thieves can easily gain it from users through hacking the atm machine or muscle strength. In some regions, people are threatened in front of ATMs, and the PIN security feature is useless in these instances. The majority of people utilize an ATM for a variety of reasons and in a variety of situations. The most typical three circumstances are examined, and solutions are discovered. The ATM machine is being used by the user as himself. If the user is intimidated by someone who wants to take money from him or her without his or her consent. If a user’s companion uses user card for transaction

  Cite this article

  Dr K.S. Rajesh,  Afzal Ulla,  Aman Aryan,  Ashish Ashok Naik,  Bhargav H Praksah,   "ATM FRAUD DETECTION AND ENHANCING SECURITY", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 3, Page No pp.113-120, August 2022, Available at : http://www.ijrar.org/IJRAR1CSP022.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR1CSP022

  Paper ID - 252270

  Author type - Indian Author

  Page Number(s) - 113-120

  Pubished in - Volume 9 | Issue 3 | August 2022

  DOI (Digital Object Identifier) -   

  No Of Downloads - 128

  Author Country - India, -, -, -, -, Science and Technology

  Publisher Name - IJPUBLICATION | IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Published Paper PDF : - http://www.ijrar.org/papers/IJRAR1CSP022

  Published Paper URL: : - http://ijrar.org/viewfull.php?&p_id=IJRAR1CSP022

  Published Paper PDF Downlaod: - download.php?file=IJRAR1CSP022

  Cite this article

  Dr K.S. Rajesh,  Afzal Ulla,  Aman Aryan,  Ashish Ashok Naik,  Bhargav H Praksah,   "ATM FRAUD DETECTION AND ENHANCING SECURITY", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 3, Page No pp.113-120, August 2022, Available at : http://www.ijrar.org/IJRAR1CSP022.pdf

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