14th International Conference on Science, Engineering and Technology | |
Enhanced way of securing automated teller machine to track the misusers using secure monitor tracking analysis | |
自然科学;工业技术 | |
Sadhasivam, Jayakumar^1 ; Alamelu, M.^2 ; Radhika, R.^2 ; Ramya, S.^2 ; Dharani, K.^2 ; Jayavel, Senthil^2 | |
School of Information Technology and Engineering, VIT University, Vellore | |
Tamil Nadu | |
632014, India^1 | |
Kumaraguru College of Technology, Coimbatore | |
Tamil Nadu, India^2 | |
关键词: ATM cards; Automated teller machines; Bank accounts; PIN numbers; Police station; Tracking analysis; Tracking system; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042032/pdf DOI : 10.1088/1757-899X/263/4/042032 |
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来源: IOP | |
【 摘 要 】
Now a days the people's attraction towards Automated Teller Machine(ATM) has been increasing even in rural areas. As of now the security provided by all the bank is ATM pin number. Hackers know the way to easily identify the pin number and withdraw money if they haven stolen the ATM card. Also, the Automated Teller Machine is broken and the money is stolen. To overcome these disadvantages, we propose an approach "Automated Secure Tracking System" to secure and tracking the changes in ATM. In this approach, while creating the bank account, the bank should scan the iris known (a part or movement of our eye) and fingerprint of the customer. The scanning can be done with the position of the eye movements and fingerprints identified with the shortest measurements. When the card is swiped then ATM should request the pin, scan the iris and recognize the fingerprint and then allow the customer to withdraw money. If somebody tries to break the ATM an alert message is given to the nearby police station and the ATM shutter is automatically closed. This helps in avoiding the hackers who withdraw money by stealing the ATM card and also helps the government in identifying the criminals easily.
【 预 览 】
Files | Size | Format | View |
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Enhanced way of securing automated teller machine to track the misusers using secure monitor tracking analysis | 379KB | download |