Read more about the SMS Fraud project here
.

OVERVIEW

The event was held at the Malawi University of Business and Applied Sciences(MUBAS), ODeL building on 10th May 2024 from 14:00 PM to 16:00 pm. The event aimed at raising awareness on the existence of SMS fraud, how people can identify fraudulent SMS messages to protect themselves and how machine learning can be used to help combat the SMS fraud in Malawi. On the machine learning significance to combat SMS fraud, we highlighted our recent research findings from the research project titled “SMS Fraud Detection Using Machine Learning in Malawi” The research aimed at investigating the potential of using machine learning to classify Chichewa SMS messages as fraudulent and non-fraudulent. In attendance were the students from MUBAS who were involved in the SMS data collection, members of staff, MSU Director of Publicity and Publications and the invited guests from TNM and Inq.

PRESENTATIONS

  1. SMS Fraud Information · Dr. Amelia Taylor
  2. SMS Fraud in Action and Quiz ·Ben Chapuma & Alinafe Lipenga
  3. SMS Fraud Survey · Tamanda Phiri & Alinafe Lipenga
  4. SMS Fraud Detection using Machine Learning · Dr. Amelia Taylor
  5. ML Experiments using the SMS Fraud Dataset · Amoss Robert

AGENDA

Review the workshop agenda provided below

Activity Presenter / Facilitator Duration (mins)
1 Opening Remarks Dr. Amelia Taylor 5
2 Prayer Evie Chapuma 1
3 Presentation
SECTION 1: SMS Fraud Information Dr. Amelia Taylor 15
SECTION 2: QUIZ Ben Chapuma 10
SECTION 3: Fraud Survey Tamanda Phiri & Alinafe Lipenga 10
SECTION 4: SMS Fraud Detection using Machine Learning Dr. Amelia Taylor 5
SECTION 5: ML experiments Amoss Robert 10
SECTION 6: Game(Spot the Scam) Evie Chapuma 15
5 Q&A Moses Gwaza
6 Speech MSU President 5
7 Closing Remarks Dr. Amelia Taylor 2