Presented To

Department of Computer Science

Developments in technology have made new proactive fraud detection techniques possible. One approach using technology that appears to be effective in detecting fraud against organizations is a combination of deductive reasoning and technology---a method we call strategic fraud detection.  This paper presents a model formalizing and describing the strategic fraud detection approach and shows how the use of information systems and technology provide effective ways to detect fraud. The model includes the following six stages: (1) understanding the business, (2) identifying all possible frauds that could occur, (3) cataloging possible symptoms for each type of fraud, (4) using technology to gather data about symptoms, (5) analyzing and refining results, and (6) investigating identified symptoms. Two optional steps of (7) following up on suspected frauds and (8) automating fraud detection procedures are also discussed. Two case studies---one of known fraud and one of unknown fraud---are used to build and test the approach.  The case studies provide evidence that, while needing additional testing, the strategic fraud detection method described in this paper is effective in the early detection of fraud.
Figure 1: Categorization of Fraud Detection Methods
Figure 2: Strategic Fraud Detection Approach
Figure 3: Fraud Symptoms for Kickbacks

Title page - - - - - - -- i
Dedication - - - - - - ii
Acknowledgement - - - - - iii
Abstract  - - - - - - - iv
Organization of work - - - - - v
List of figures - - - - - - vi
Table of contents - - - - - vii
1.0. Introduction
1.1. Statement of Problem
1.2. Aim and Objectives 
1.3. Purpose of the Study
1.4. Significance of the Study
1.5. Scope of Study
1.6. Limitations
1.7 Assumptions
1.8 Definitions of Terms
2.0. Literature Review
3.0 Description and Analysis
3.1 Fact Finding Method
3.2 Organizational Structure
3.3 Objectives of the Existing System
3.4 Input Process and Output analysis
3.4.1 Input Analysis
3.4.2 Processing Analysis
3.4.3 Output analysis
3.5 Information Flow Diagram
3.6 Problems of Existing System
3.7 Justification of the New System
4.0 Design of the new system
4.1 Design standards
4.2 Output specifications and design
4.3 Input specifications and design
4.3 .1 File design
4.4 Procedure chart
4.5 System flow chart
4.6 System requirements
4.6.2 Software requirements
4.6.2 Personnel requirements
5.0. Implementation
5.1. Design standards
5.2. Program design
5.2.1. Program flow chart
5.2.2 . Pseudocode
5.3. The source program/choice of language
5.4. Test run
5.5. User training
5.6.Cutover process
6.0. Documentation
6.1.  Program documentation
6.2 .  User documentation
7.0. Summary
7.1. Conclusion
7.2. Recommendations

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