Effective Mitigation Strategies for Social Engineering Attacks in Mobile Money Services: A Case Study in Kenya

MITIGATING MOBILE MONEY SOCIAL ENGINEERING ATTACKS USING MACHINE LEARNING

Four supervised machine learning algorithms were used in building social engineering attack preventi

WhatsApp and Mobile Money: Ameliorating Crowdfunding for Social Change in Kenya

Use of WhatsApp as a social media technology and M-pesa, a mobile money service for crowdfunding in

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach

Thin SIM-based Attacks on Mobile Money Systems

Phone-based mobile money is becoming the dominant paradigm for financial services in the developing

Mobile money system and market risk mitigation: an econometric case study of Kenya's farm business

Purpose The study presents and evaluates a proposition that there is market information bundled wit

Impact of Mobile Money Access on Household Expenditures: A Case Study from Kenya

This paper investigates the impact of access to mobile money services on household expenditure patte