An Efficient Framework For Database Forensic Analysis.

Authors

  • Shraddha Shahari Dept of comp.engg, KJ college of engineering.Pune
  • Monika Bhangire Dept of comp.engg, KJ college of engineering.Pune
  • Akshata Jamdar Dept of comp.engg, KJ college of engineering.Pune
  • Komal Matere Dept of comp.engg, KJ college of engineering.Pune
  • Prof.Jyoti Nighot Dept of comp.engg, KJ college of engineering.Pune

Keywords:

Infrastructure, massive volume, forensics

Abstract

From the past few years the utilization of databases has multiplied exponentially. The majority of
applications in world’s largest organizations use info to manage their knowledge. However with the increasing use of
info, security and privacy problems square measure at the height with reference to their significance. Massive numbers
of info security breaches square measure occurring at a awfully high rate on usual. One will ne'er recognize once the
confidentiality of user is being compromised. as a result of these serious problems, it's changing into very vital for info
investigators not solely to verify the incidence of unauthorized info access however additionally to get robust proof
against criminals for presenting it within the court of law in the form of United Nations agency, when, why, what,
however and wherever did the deceitful dealings occur therefore, there's an indispensable want within the field of info
forensics to create many redundant copies of sensitive knowledge found in info server artifacts, audit logs, cache, table
storage etc. for analysis functions. Massive volume of information is offered in info infrastructure for investigation
functions however most of the hassle lies within the retrieval and analysis of that info from computing systems. Thus,
during this paper primarily connectedness of information in style of a generalized info forensics tool freelance of
database management system used is concentrated. the varied tools of info forensics alongside the challenges sweetfaced also are mentioned.

Published

2017-05-25

How to Cite

Shraddha Shahari, Monika Bhangire, Akshata Jamdar, Komal Matere, & Prof.Jyoti Nighot. (2017). An Efficient Framework For Database Forensic Analysis. International Journal of Advance Engineering and Research Development (IJAERD), 4(5), 978–981. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2413