JOURNAL ARTICLE

Secret Sharing based Secure Authentication System

Rupali S. PatilSonali PatilSudeep D. Thepade

Year: 2015 Journal:   International Journal of Computer Applications Vol: 118 (22)Pages: 8-11

Abstract

The growth in the usage of internet has increased the demand for fast and accurate user identification and authentication. New threats, risks and vulnerabilities emphasize the need of a strong authentication system. Automated methods based on physiological characteristics of user are widely used to identify and verify the user. Biometric is the technology to deal with such methods which measures and statistically analyze the biological data. A biometric authentication system provides automatic authentication of an individual on the basis of unique features or characteristics possessed by an individual. The authentication system can be stronger using multiple factors for authentication process. The application like Aadhar Card uses multiple factors for authentication. There are some difficulties with multi-factor authentication system such as user privacy considerations, huge size databases and centralized database which may create security threats. To address such tribulations, the biometric authentication using secret sharing is proposed. Secret sharing will split the centralized database across the different locations. This will help in reducing the database size and removal of threats in centralized database. Also user privacy will be maintained due to decentralization of database.

Keywords:
Computer science Computer security Authentication (law) Secret sharing Cryptography

Metrics

6
Cited By
0.27
FWCI (Field Weighted Citation Impact)
11
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
User Authentication and Security Systems
Physical Sciences →  Computer Science →  Information Systems
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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