Biometric And IOT Technology Based Safety Transactions In ATM
ABSTARCT :
The ATM Fraudulence occurring in the society has become very common nowadays. Even though technology has boomed in various aspects it is being misused in different ways for stealing money through ATM’S. Skimming and Trapping of the ATM devices have been designed by many Burglars. Recognition based Verification system as been implemented for many ATM’s for safety purposes. This work deals with Biometric recognition like fingerprints, face recognition to identify person. In addition, Internet of things has been used to enhance the security of the Money and to give timely updates. Also, one time password will be sent to user to verify identity. Simulation of the work is done in Proteus and the results are verified by implementing the same with a hardware setup.
EXISTING SYSTEM :
? The values from the sensors and RFID are continuously monitor by the maintenance team and if there is any change in any of those sensors, the maintenance unit can notice immediately with the help of IOT.
? This system is much easier and reliable system compare to all the other existing system.
? IoT permits objects to be detected and controlled remotely across existing network infrastructure, making opportunities for additional direct integration between the physical world and computer-based systems, and leading to improved efficiency, accuracy and economic profit.
? This system is more efficient and secure then all the other existing systems.
DISADVANTAGE :
? Securing the personal data stored and accessed from android touchscreen mobile makes user authentication a problem of paramount importance.
? When analyzing the most common attacks and the reasons for successful frauds, it becomes apparent that the main problem lies in the PIN based authentication which in itself does not provide any security features (besides the use of asterisks).
? The systematic examination provides a comprehensive and integrated evaluation of PCCP covering both usability and security issues.
? We present EyePassword, a system that mitigates the issues of shoulder surfing via a novel approach to user input.
PROPOSED SYSTEM :
• In the proposed system we use IOT based ATM monitoring and control system. ATM is monitored with vibration sensor, light sensor, smoke sensor and temperature sensor.
• The light sensor is used to detect the light intensity and temperature sensor is used to detect external temperature. SMOKE sensor is used to detect the fire occurrence in the ATM.
• We also use RFID and a USB camera to indentify the customer. All the values are sending to the maintenance team for security purpose.
• We also use relay circuit to switch on and switch off the ATM machine shutter.
• Python is used as the programming language in Raspberry Pi, which is an open source programming language.
ADVANTAGE :
? To overcome the disadvantages of inserting the ATM card into the ATM machine, RFID card is used. It reads the user information by sensing and it also manages different banks accounts in a single RFID card.
? The IoT is a giant network of connected things and people – all of which collect and share data about the way they are used and about the environment around them.
? However ,if this scheme is to be used in a public system then the design might endure since accept surfing attack.
? Dynamic time warping algorithm is used to align this processed signature with its template previously stored in a database.
? It reads the user information by sensing and it also manages different banks accounts in a single RFID card.
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