Performance Analysis of Implementation of AES (XTS)-MR in HDFS and Its Suitability in UIDAI
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2018 by IJCTT Journal | ||
| Volume-60 Number-3 |
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| Year of Publication : 2018 | ||
| Authors : Arpana Chaturvedi, Dr. Vinay Kumar, Dr. Meenu Dave | ||
| DOI : 10.14445/22312803/IJCTT-V60P125 |
Arpana Chaturvedi, Dr. Vinay Kumar, Dr. Meenu Dave "Performance Analysis of Implementation of AES (XTS)-MR in HDFS and Its Suitability in UIDAI". International Journal of Computer Trends and Technology (IJCTT) V60(3):161-168 June 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract
The UIDAI data stored at CIDR is at high risk. Due to the introduction of new technologies and advanced tools, the risk factor increased. The data at rest as well as data at travel mode, both are at risk. The government is enforcing citizen of India to link Aadhaar number with different services so that right citizen can avail the benefits. The fear of getting shared private information increases the worries about various security threats. An efficient encryption technique is required to be implemented to secure data stored in different data centers. In this paper, an encryption process to be performed in parallel mode is discussed. This proposed algorithm minimizes the time consumption and vulnerabilities to numerous attacks on stored data. The proposed approach is AES in XTS Mode in Map Reduce paradigm which supports parallel programming in the distributed environment. The findings after reviews of results show that it provides better security against external attacks and overcomes the shortcomings of Kerberos. Encryption followed by compression on various datasets provides better result and protection from vulnerabilities and threats. In this paper, we reviewed different observations which prove that the algorithm is an appropriate choice.
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Keywords
AES, XTX, Map Reduce, UIDAI, CIDR, Kerberos.