23-06-2012, 05:43 PM
A Method to Improve the Security Level of ATM Banking Systems Using AES Algorithm
ATM Banking Systems Using AES Algorithm.pdf (Size: 184.19 KB / Downloads: 93)
ABSTRACT
An embedded Crypto-Biometric authentication scheme for ATM
banking systems is proposed in our paper. In this scheme,
cryptography and biometric techniques are fused together for
person authentication to ameliorate the security level. The
fingerprint template including singular points, frequency of
ridges and minutiae are stored at the central banking server when
enrollment. At the time of transaction fingerprint image is
acquired at the ATM terminal using high resolution fingerprint
scanner. The fingerprint image is enhanced and then encrypted
using 128 bit private key algorithm.
INTRODUCTION
Biometrics based authentication is a potential candidate to
replace password-based authentication. Among all the
biometrics, fingerprint based identification is one of the most
mature and proven technique. Cryptography provides the
necessary tools for accomplishing secure and authenticated
transactions [3]. It not only protects the data from theft or
alteration, but also can be used for user authentication. In a
conventional cryptographic system, the user authentication is
possession based. The weakness of such authentication systems
is that it cannot assure the identity of the maker of a transaction;
it can only identify the maker’s belongings (cards) or what he
remembers (passwords, PINs etc.) Automatic biometric
authentication is an emerging field to address this problem.
EMBEDDED CRYPTO-BIOMETRIC
AUTHENTICATION PROTOCOL
Generally, there are two basic fingerprint authentication
schemes, namely the local and the centralized matching [11]. In
the central matching scheme, fingerprint image captured at the
terminal is sent to the central server via the network and then it
is matched against the minutiae template stored in the central
server.
There are three stages in the protocol namely registration, login
and authentication. In the registration phase, the fingerprints of
ATM users are enrolled and the derived fingerprint templates are
stored in the central server. The login phase is performed at an
ATM terminal equipped with a fingerprint sensor. The proposed
block schematic of embedded crypto biometric authentication
system is shown in Fig (1).
CONCLUSION
An embedded Crypto-Biometric authentication scheme for ATM
banking systems has been proposed. The claimed user’s
fingerprint is required during a transaction. The fingerprint
image is encrypted via 3D chaotic map as soon as it is captured,
and then transmitted to the central server using symmetric key
algorithm [14]. The encryption keys are extracted from the
random pixel distribution in a raw image of fingerprint, some
stable global features of fingerprint and/or from pseudo random
number generator. Different rounds of iterations use different
keys.