©Multilayered authentication for ATM transaction using keystroke dynamics and touch dynamics

Genuine person recognition systems are necessary for a system to identify or authorize the identification of a person requesting their services. Ensuring that only authorized users access the provided services is the aim of this proposed system. These systems are susceptible to impersonation attacks in the absence of strong personal recognition methods. Due to its traditional authentication technique (PIN), the ATM has suffered greatly over the years from PIN theft and other related ATM thefts. Therefore, in this paper, we proposed a multilayer (Typing and Touch) based authentication security arrangement to enhance the security and safety for the ATM and its users. The proposed system demonstrates a three-layered design structure. The first layer is the card verification module, which concentrates on the enrolment phase for ATM card. The second layer is the feature extraction and comparing of the typing pattern from the database server. The last layer compares the touch behavior continue till session end with the stored touch data in the database server. During the implementation phase, MySQL server 2010 served as the backend and Java was used for front-end development on Microsoft Windows 10. Based on the False Rejection Rate (FAR), False Acceptance Rate (FAR), and Equal Error Rate (EER) measurements, the application was evaluated. These metrics demonstrate the security and dependability of the suggested system for the authentication and verification of ATM customers.