You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@fineract.apache.org by "Edward Cable (JIRA)" <ji...@apache.org> on 2019/03/12 23:44:00 UTC

[jira] [Commented] (FINERACT-210) Database Tampering and Detection of Data Fraud by Using the Forensic Scrutiny Technique

    [ https://issues.apache.org/jira/browse/FINERACT-210?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16791099#comment-16791099 ] 

Edward Cable commented on FINERACT-210:
---------------------------------------

[~vishwasbabu] Should we keep this ticket open? If so, should we bucket it into the hardening project we are promoting for Outreachy?

> Database Tampering and Detection of Data Fraud by Using the Forensic Scrutiny Technique
> ---------------------------------------------------------------------------------------
>
>                 Key: FINERACT-210
>                 URL: https://issues.apache.org/jira/browse/FINERACT-210
>             Project: Apache Fineract
>          Issue Type: New Feature
>            Reporter: Ippez Roberts
>            Assignee: Markus Geiss
>            Priority: Major
>              Labels: gsoc, p3
>
> Abstract
> Database Tampering and the Data Fiddle is one of the important role in Database Management System (DBMS).To Provide the security to the Data Storage Has Become Requirement of our time. The Main Objective of this is to choose among different techniques the best and detection of different Places in Database. We could use the cryptographic hash
> algorithm to discover the tampering of a Database. Consequently the Tiled Bitmap Forensic analysis algorithm helps to find at what time and possibly finally who and why Tamper the Database. This algorithm establish the concept of applicant places (possible places of spot tampering) and prevent the intruder, the computing of the candidate set is
> also presented.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)