Code:-
JC02
Abstract:-
Existing System:-
The Existing System use business rules and scorecards. In Australia, one business rule is the hundred-point physical identity check test which requires the applicant to provide sufficient point-weighted identity documents face-to-face. They must add up to at least 100 points, where a passport is worth 70 points. Another business rule is to contact (or investigate) the applicant over the telephone or Internet. The business rules and scorecards, and known fraud matching have limitations. Another existing is known as fraud matching. Here, known frauds are complete applications which were confirmed to have the intent to defraud and usually periodically recorded into a blacklist. Subsequently, the applications are matched against the blacklist due to long time delays, in days or months, for fraud to reveal itself, and be reported and recorded. This provides a window of opportunity for fraudsters. Second, recording of frauds is highly manual. This means known frauds can be incorrect, expensive, and difficult to obtain, and have the potential of breaching privacy.</p>
Proposed System:-
The Proposed System proposes a new multilayered detection system complemented with two additional layers: communal detection (CD) and spike detection (SD). CD finds real social relationships to reduce the suspicion score, and is tamper resistant to synthetic social relationships. It is the white list-oriented approach on a fixed set of attributes. SD finds spikes in duplicates to increase the suspicion score, and is probe-resistant for attributes. It is the attribute-oriented approach on a variable-size set of attributes. Together, CD and SD can detect more types of attacks, better account for changing legal behavior, and remove the redundant attributes.</p>
Hardware Requirements:-
Software Requirements:-
- Operating System : Windows XP/ 7 /10</li> <li style="text-align: justify;">Application Server : Tomcat5.0/6.X</li> <li style="text-align: justify;">Front End : Java, JSP</li> <li style="text-align: justify;">Script : JavaScript.</li> <li style="text-align: justify;">Server side Script : Java Server Pages.</li> <li style="text-align: justify;">Database : MYSQL</li>
Cost:-
Rs 2000
Crime Detection in Credit Card Fraud
Code:
JC02
Abstract:
Existing System:
The Existing System use business rules and scorecards. In Australia, one business rule is the hundred-point physical identity check test which requires the applicant to provide sufficient point-weighted identity documents face-to-face. They must add up to at least 100 points, where a passport is worth 70 points. Another business rule is to contact (or investigate) the applicant over the telephone or Internet. The business rules and scorecards, and known fraud matching have limitations. Another existing is known as fraud matching. Here, known frauds are complete applications which were confirmed to have the intent to defraud and usually periodically recorded into a blacklist. Subsequently, the applications are matched against the blacklist due to long time delays, in days or months, for fraud to reveal itself, and be reported and recorded. This provides a window of opportunity for fraudsters. Second, recording of frauds is highly manual. This means known frauds can be incorrect, expensive, and difficult to obtain, and have the potential of breaching privacy.</p>
Proposed System:
The Proposed System proposes a new multilayered detection system complemented with two additional layers: communal detection (CD) and spike detection (SD). CD finds real social relationships to reduce the suspicion score, and is tamper resistant to synthetic social relationships. It is the white list-oriented approach on a fixed set of attributes. SD finds spikes in duplicates to increase the suspicion score, and is probe-resistant for attributes. It is the attribute-oriented approach on a variable-size set of attributes. Together, CD and SD can detect more types of attacks, better account for changing legal behavior, and remove the redundant attributes.</p>
Hardware Requirements:
Software Requirements:
- Operating System : Windows XP/ 7 /10</li> <li style="text-align: justify;">Application Server : Tomcat5.0/6.X</li> <li style="text-align: justify;">Front End : Java, JSP</li> <li style="text-align: justify;">Script : JavaScript.</li> <li style="text-align: justify;">Server side Script : Java Server Pages.</li> <li style="text-align: justify;">Database : MYSQL</li>
Cost:
Rs 2000
Additional Information
Tools Used:
Java
Cost:
₹Rs 2000
