Deep Neural Networks Based Security Solution for ATM Transactions

This paper provides you with a description of this new approach for the security of ATM transactions for its subscribers. Looking towards the banking sector, ensuring the safety and security in Automatic Teller Machine (ATM) is a critical factor for ATM transactions. This paper gives a review in brief about the existing literature survey on security arrangements, types of attacks of ATM transaction, together with IR sensors, bio metric identification like (Fingerprint sensors, Iris scanner), modified encryption standards, live monitoring and OTP (One Time Password) notifications, and systems based on IOT applications. This research paper also spotted the restrictions and obstructions of the ongoing security measures, probable threats, types of attacks in transactions and recommends some areas for future research. The insights gained from this research paper can surely be helpful for improving the security system in ATMs and in upgrading the safety measure of overall ATM transactions.