A COMPREHENSIVE STUDY AND COMPARISON OF VARIOUS METHODS ON DATA LEAKAGES

Autor: Yarramalle Srinivas, Gvs Raj Kumar, B. Raja Koti
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Advanced Research in Computer Science. 8:627-631
ISSN: 0976-5697
DOI: 10.26483/ijarcs.v8i7.4338
Popis: Data security is an important asset for any organization. Mainly data leakages will take place when a system is premeditated such that some vital information about the organization is revealed to unauthorized parties. In addition, during the time of data sharing, there may be huge chances for the data exposure, leading to leakage or unauthorized modifications. The protection and prevention of sensitive data from leakages is a vital issue to every organization, as the data is the most valuable source for any organization. Many authors have developed and presented their views of safeguarding the data such that the vital information is not explored or leakage. In this article, a detailed survey many such recent innovations on data leakage techniques aimed at detecting data leakages are highlighted for the researchers to have further directions.
Databáze: OpenAIRE