An Efficient Framework For Database Forensic Analysis.
| Author(s) | : | Shraddha Shahari, Monika Bhangire, Akshata Jamdar, Komal Matere, Prof.Jyoti Nighot |
| Institution | : | Dept of comp.engg, KJ college of engineering.Pune |
| Published In | : | Vol. 4, Issue 5 — May 2017 |
| Page No. | : | 978-981 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
From the past few years the utilization of databases has multiplied exponentially. The majority ofapplications in world’s largest organizations use info to manage their knowledge. However with the increasing use ofinfo, security and privacy problems square measure at the height with reference to their significance. Massive numbersof info security breaches square measure occurring at a awfully high rate on usual. One will ne'er recognize once theconfidentiality of user is being compromised. as a result of these serious problems, it's changing into very vital for infoinvestigators not solely to verify the incidence of unauthorized info access however additionally to get robust proofagainst 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 infoforensics to create many redundant copies of sensitive knowledge found in info server artifacts, audit logs, cache, tablestorage etc. for analysis functions. Massive volume of information is offered in info infrastructure for investigationfunctions 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 ofdatabase management system used is concentrated. the varied tools of info forensics alongside the challenges sweetfaced also are mentioned.
Shraddha Shahari, Monika Bhangire, Akshata Jamdar, Komal Matere, Prof.Jyoti Nighot, “An Efficient Framework For Database Forensic Analysis.”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 978-981, May 2017.








