An Enhanced Schmidt Samoa Cryptosystem for Securing Health Care information in Big Data Scenario

Authors

  • Narayana Galla Department of Computer Science, Rayalaseema. University, Kurnool, India
  • Padmavathamma Mokkala Department of Computer Science, S.V. University, Tirupathi, India

Keywords:

Cryptography, Policy, Data Encryption, Enhanced Schmidt Samoa, Privileged User

Abstract

In Data sources for information feed into a Big Data achievement as you might expect contain sensitive or confined information or key logical property along with non-sensitive data. In the Big data world securing the sensitive data be renewed into more intricate and time overwhelming process. In the big data distribution of sensitive, it exacerbates the threat of sensitive data falling into the un-authorized. To battle this sensitive data threat, enterprises turn to cryptosystem. In the cryptosystem encryption is the process of encoding sensitive data so that only authorized or privileged parties can decrypt and read the sensitive data applying this methodology in application level we provide complete security on the sensitive data.

References

[1] http://www.sas.com/en_us/insights/big-data/what-is-big-data.html

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[4] "DEPARTMENT OF INDUSTRY: PERSONAL INFORMATION PROTECTION AND ELECTRONIC DOCUMENTS ACT" Canada Gazette, Apr. 03 2002. Retrieved Feb. 9 2013.

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[9] http://www.bmc.com/blogs/big-data-security-issues-challenges-for-2016/

[10] https://en.wikipedia.org/wiki/Health_Insurance_Portability_and_Accountability_Act

[11] http://searchdatamanagement.techtarget.com/definition/HIPAA

[12] http://blog.vormetric.com/2015/06/23/locking-down-data-full-disk-encryption-vs-file-level-encryption/

[13] Performance analysis of Jordan Totient RSA (JkRSA) and NTRU, International Journal of Scientific & Engineering Research, Volume 5, Issue 3, March-2014 1099 ISSN 2229-5518

[14] https://www.vormetric.com/data-security-solutions/use-cases/privileged-user

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Published

2019-03-30

How to Cite

[1]
N. Galla and P. Mokkala, “An Enhanced Schmidt Samoa Cryptosystem for Securing Health Care information in Big Data Scenario”, Int. J. Comp. Sci. Eng., vol. 7, no. 6, pp. 37–40, Mar. 2019.

Issue

Vol. 7 No. 6 (2019): IJCSE Special Issue Mar Edition

Section

Research Article

License

Copyright (c) 2025 Narayana Galla, Padmavathamma Mokkala

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