Security System of Smart ATM Access and Status Analysis Using GSM Technology

Abstract

Automated Teller Machines (ATMs) innovation paralleled the growth of Personal Computers (PC) and telecommunication industries. ATMs have become very popular with the general public for their availability and general user friendliness. To date, most information systems authenticate their users by the use of passwords or Personal Identification Number (PIN). The existing selfbanking system has got very high popularity with 24 hours service. The ATM is activated by placing the card, then entering the pin number of the specific card. Passwords remain dominant means of authentication in today’s systems because of their ease, legacy deployment and ease of withdrawal. In a password or PIN based system, it is assumed that all parts of the system are trustworthy. It is assumed that the end user device is free from any untrustworthy activities such as password sniffing or system snapping.      

Personal identification based on biometrics has been receiving extensive attention in public security and information security domains. Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic. The use of biological characteristics such that “something you are” (i.e., the fingerprint) has always been a better identification method rather than “something you know”. Biometric-based solutions are able to provide for confidential financial transactions and personal data privacy. The various features used are face, fingerprints, hand geometry, handwriting, iris, retina, vein and voice. Fingerprinting or finger-scanning technologies are the oldest of the biometric sciences and utilize distinctive features of the fingerprint to identify or verify the identity of individuals.