A Review Paper on Secure ATM using Biometric and Color Code
Year: 2022
Type: article
Abstract: Automated Teller Machine (ATM) is very convenient way to withdraw money from anywhere. As users have been highly dependent on ATM so that Automated Teller Machine is highly in demand. But if someone got our access then they can easily access our bank accounts. To avoid such frauds we studied some more techniques like biometrics and colour code system for recognition of the actual author. under biometrics there are Iris recognition , face recognition , fingerprint recognition. Also one more technique is there which is colour code system. By using these techniques we can easily access our accounts and no one can withdraw our money by illegal way. This paper shows literature survey of each technique like Iris Recognition ,Fingerprint Recognition, Face Recognition and colour code system, etc. This survey shows that the methods which are mentioned above will definately provide proper security to ATM . In this paper we mentioned detail survey of each security technique with their limitations after studying some research papers on each technique. we mentioned comparative study of each technique with their advantages, disadvantages and limitations. As per the information reported to and traced by the Indian Computer Emergency Response Team (CERT-In), upto 1,59,761 cyber security incidents concerning to digital banking were reported in 2018, a total of 2,46,514 incidents in 2019 and 2,90,445 incidents were reported in 2020. These incidents include phishing attacks, network scanning and probing, viruses and website hacking. There has been a 46 percent increment in digital transactions in 2019-20 in comparison to 2018-19.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7126399124