Call for Paper - November 2018 Edition
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A Robust Approach to Secure Structured Sensitive Data using Non-Deterministic Random Replacement Algorithm

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ruby Bhuvan Jain, Manimala Puri, Umesh Jain
10.5120/ijca2018917306

Ruby Bhuvan Jain, Manimala Puri and Umesh Jain. A Robust Approach to Secure Structured Sensitive Data using Non-Deterministic Random Replacement Algorithm. International Journal of Computer Applications 179(50):17-21, June 2018. BibTeX

@article{10.5120/ijca2018917306,
	author = {Ruby Bhuvan Jain and Manimala Puri and Umesh Jain},
	title = {A Robust Approach to Secure Structured Sensitive Data using Non-Deterministic Random Replacement Algorithm},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2018},
	volume = {179},
	number = {50},
	month = {Jun},
	year = {2018},
	issn = {0975-8887},
	pages = {17-21},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume179/number50/29515-2018917306},
	doi = {10.5120/ijca2018917306},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The first list of Jan 2018 is one of the longest lists, with a count of 7,073,069cases, which include Cyber attacks & ransom ware, Data breaches, financial information, and others.Security and risk management leaders should use data masking to desensitize or protect sensitive data and address the changing threat and compliance landscape. Masking is a philosophy or new way of thinking about safeguarding sensitive data in such a way that accessible and usable data is still available for non- production environment. In this research paper authors proposed a dynamic data masking model to protect sensitive data using non-deterministic randomreplacement algorithm. This paper contains comparative analysis of proposed model with existing masking methods and result shows that proposed model is would be superior in terms of sensitive data discovery, dynamic data masking and data security.

References

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Keywords

Data Discovery, Sensitivity Diligence File, Testing Integration, Security Integration.