International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 91 - Issue 1 |
Published: April 2014 |
Authors: Manu A R, V K Agrawal, K N Balasubramanya Murthy |
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Manu A R, V K Agrawal, K N Balasubramanya Murthy . A User Identification Technique to Access Big Data using Cloud Services. International Journal of Computer Applications. 91, 1 (April 2014), 19-30. DOI=10.5120/15846-4730
@article{ 10.5120/15846-4730, author = { Manu A R,V K Agrawal,K N Balasubramanya Murthy }, title = { A User Identification Technique to Access Big Data using Cloud Services }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 91 }, number = { 1 }, pages = { 19-30 }, doi = { 10.5120/15846-4730 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Manu A R %A V K Agrawal %A K N Balasubramanya Murthy %T A User Identification Technique to Access Big Data using Cloud Services%T %J International Journal of Computer Applications %V 91 %N 1 %P 19-30 %R 10.5120/15846-4730 %I Foundation of Computer Science (FCS), NY, USA
Authentication is required in stored database systems so that only authorized users can access the data and related cloud infrastructures. This paper proposes an `authentication technique using multi-factor and multi-dimensional authentication system with multi-level security. The proposed technique is likely to be more robust as the probability of breaking the password is extremely low. This framework uses a multi-modal biometric approach and SMS to enforce additional security measures with the conventional Login/password system. The robustness of the technique is demonstrated mathematically using a statistical analysis. This work presents the authentication system using the consumer authentication architecture diagrams, activity diagrams, data flow diagrams, sequence diagrams, and algorithms.