Abstract | ||
---|---|---|
The traditional digital data security mechanisms follow either cryptography or authentication. The primary point of contention with these mechanisms remains either memorizing or securely storing the user’s credentials. The proposed work addresses this critical issue by presenting a fingerprint biometric-based mechanism to protect users’ digitized documents. In our approach, biometric features are extracted from the user’s fingerprint captured with a fingerprint biometric sensor. The extracted features are then used to generate a unique code utilizing the convolution coding principle. This unique code is further used to generate a cryptographic key for encryption and decryption of the user’s document. A sedulous investigation to our approach which includes experimentation with a variety of standard fingerprint images as the database starkly reveals a staggering 95.12 % true positive and 0 % as false negative. Further, the advantages of our approach are that it generates a unique key for each user and eliminates the storage of any biometric template or key. In addition, it is faster and accurate enough to develop any robust data storage security system. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1007/s11042-017-4528-x | Multimedia Tools and Applications |
Keywords | Field | DocType |
Cryptographic key generation, Biometric-based security, Data security, Bio-crypto system, Information forensics security | Storage security,Authentication,Cryptography,Computer security,Computer science,Encryption,Artificial intelligence,Digital content,Key (cryptography),Unique key,Computer vision,Information retrieval,Biometrics | Journal |
Volume | Issue | ISSN |
78 | 19 | 1573-7721 |
Citations | PageRank | References |
2 | 0.40 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gaurang Panchal | 1 | 3 | 1.45 |
Debasis Samanta | 2 | 227 | 37.98 |
Subhas Barman | 3 | 12 | 3.22 |