Work place: Jagan Nath University/IT, Jaipur, India
E-mail: meenu.s.dave@gmail.com
Website:
Research Interests: Artificial Intelligence, Data Mining, Data Structures and Algorithms
Biography
Dr. Meenu Dave, M.Tech., Ph.D.(Computer Science) has taught Computer Science in different capacities at a number of Engineering Colleges and Institutes. At present, she is deputed as Professor and Dean, Faculty of Engineering & Technology, Jagan Nath University, Jaipur. She has extensive experience in teaching Cloud Computing, Artificial Intelligence, Knowledge Management and Data Mining at the post graduate level. She has also authored several research papers in the specified areas which have been published in leading journals. E-mail: meenu.s.dave@gmail.com
By Vinay Kumar Arpana Chaturvedi Meenu Dave
DOI: https://doi.org/10.5815/ijcnis.2018.05.05, Pub. Date: 8 May 2018
With spread of digitalization in India, the government initiated many welfare schemes for citizens as a part of e-governance. To ensure security, it is made mandatory to link Aadhaar card of beneficiaries with different schemes. The government also proposed to link UIDAI with DigiLocker to lead India towards the paperless economy. Due to this, worries related to security concern arise. Once UIDAI connected with DigiLocker, a resident can share personal data with other agencies. It generates enormous amount of Data and it may cause misuse of personal data. It is very important to keep data secure with controlled and authenticated access. It is a challenge to manage and secure this amount of data. In this paper, we propose a framework and model to secure personal data using proper authentication process. Availability of the documents should be verified by the owner and post verification, the document should be accessible for the limited time. Failing which revalidation is required.
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