International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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DCIP MODEL FOR PRIVACY-PRESERVING IN BIG DATA

    2 Author(s):  MRS. VIMLA ,DR. MUKESH KUMAR

Vol -  13, Issue- 6 ,         Page(s) : 25 - 34  (2022 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Big data is becoming more commonly used for knowledge discovery in all aspects of society. Almost all digital processes create it. It is preserved on the internet and may be viewed. This dependence on the web for large data sets up serious security issues. Traditional security measures cannot be applied to big data due to its scale, diversity, and volume. Because big data contains personal information, privacy is now a serious security concern, and a violation of privacy can lead to legal issues. This article discusses some privacy-preserving strategies for coping with major data breaches. To address the legal challenges around data and information security, an unique DCIP paradigm is offered.

Ira Rubinstein, Big Data: The End of Privacy or a New Beginning? 3 INT’L DATA PRIVACY L. 74, 77–78 (2013) DCI3 Model for Privacy Preserving in Big Data 361 
Tene, Omer, Polonetsky, Jules: Big data for all: privacy and user control in the age of analytics, 11 NW. J. Tech. Intell. Prop. 239, 240–242 (2013) 
Consent of Customer to Use Personal Data: http://www.ftc.gov/reports/privacy3/

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