An Efficient Bank Data safeguard technique using ECC based DNA Computing Algorithm

Nowadays, amount of usage of banking server is increasing due to increase in number of account holder in the bank. Therefore securing the bank server is the biggest challenge for researchers and algorithm developers. Many methods and algorithms are available to provide the secure bank server, but it failed to provide security to the data stored in the server. In this paper, a novel Hybrid DNA Computing based encoding techniques is proposed and it provides greater level of security to the bank server data by encode the data stored in the server. The proposed encoding techniques encrypt the account holders detail by using Elliptic Curve Cryptography and encode the encrypted data into DNA code. The encoded data bits are embedded into the account holder's image by incorporating the DNA mapping table. The encoded image divide into four quadrants, then 2 quadrants of data are Exclusive- OR with other 2 Quadrant of data and stored it in the bank server. This proposed encoding techniques provide the bigger security to the data stored in the server with less number of processing time, operation bits, in turn help to reduce the storage capacity of server. Finally, proposed hybrid DNA computing techniques are simulated using MATLAB simulation tool and analyze its performance with the simulation parameter such as key size, processing time, data bits and image size.