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Fraud Detection with Data Mining IN COLLABORATION WITH IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan UoP

Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

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Page 1: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Fraud Detection with Data MiningIN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)”

Roshanth Gardiarachchi(Dialog)

Sampath DeegallaUoP

Mohammed Fawsan

UoP

Page 2: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

INTRODUCTION

Page 3: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

What is Ideamart?

IdeaMart is a platform presented by Dialog Axiata PLC to developers and content providers to use the Dialog network based features via shared API’s and monetize their content/ideas.

http://www.ideamart.lk

http://www.allapps.lk

Page 4: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Problems faced By the IdeaMart Community

Page 5: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Hey Fawzan, We want to catch these scams. Shall

we monitor apps individually?

Well…. No, I have a better idea.

Page 6: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Solutions

Creating an efficient Spam Filter for SMS Unlike emails, SMS has very less information. So we are trying

to apply the same techniques as emails with modifications.

REST API to integrate the Spam Filter with IdeaMart

Data Visualization & Statistics

Page 7: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Methodology

Page 8: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Integration

Page 9: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Training & Testing

SMS Log

(5574 Messages)

23

Testing SMS Log

13

Training SMS Log

 

Training Model

 

Results

 

Knowledge Base

 

Testing Model

 

Expand the Knowledge Base

ROUND 1Test Messages

SPAM HAM

Tagged MessagesSPAM 99% 1%

HAM 9% 91%

ROUND 2Test Messages

SPAM HAM

Tagged MessagesSPAM 94% 6%

HAM 9% 91%

ROUND 3Test Messages

SPAM HAM

Tagged MessagesSPAM 94% 6%

HAM 9% 91%

Page 10: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Conclusion & Future Work

Spam Filter92%

Page 11: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Conclusion & Future Work

Spam Filter92%

Rest API√

Page 12: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Conclusion & Future Work

Rest API√

Domain Knowledge

Spam Filter92%

√Combining

Multiple Messages

Data Visualization

Page 13: Fraud Detection with Data Mining IN COLLABORATION WITH “IDEAMART( DIALOG AXIATA PLC)” Roshanth Gardiarachchi (Dialog) Sampath Deegalla UoP Mohammed Fawsan

Thank You