International Journal of Computer
Trends and Technology

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Volume 4 | Issue 2 | Year 2013 | Article Id. IJCTT-V4I2P129 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I2P129

Data Security and Privacy in Data Mining: Research Issues Preparation

Dileep Kumar Singh, Vishnu Swaroop

Citation :

Dileep Kumar Singh, Vishnu Swaroop, "Data Security and Privacy in Data Mining: Research Issues Preparation," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 2, pp. 194-200, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I2P129

Abstract

Database mining can be defined as the process of mining for implicit, formerly unidentified, and potentially essential information from awfully huge databases by efficient knowledge discovery techniques. The privacy and security of user information have become significant public policy anxieties and these anxieties are receiving increased interest by the both public and government lawmaker and controller, privacy advocates, and the media. In this paper we focuses on key online privacy and security issues and concerns, the role of self-regulation and the user on privacy and security protections, data protection laws, regulatory trends, and the outlook for privacy and security legislation. Naturally such a process may open up new assumption dimensions, detect new invasion patterns, and raises new data security problems. Recent developments in information technology have enabled collection and processing of enormous amount of personal data, such as criminal records, online shopping habits, online banking, credit and medical history, and driving records and almost importantly the government concerned data.

Keywords

Database mining, Database security, Data Privacy, Inferences, Intrusion Detection, Law.

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