Fraud detection and prevention in smart card based environments using artificial intelligence

This paper discusses the development and research for the detection of fraud in smart-card environments by using artificial intelligence. The current research deals with behaviour based detection engine, which will detect abnormalities by learning the usual behaviour of the user and detecting new unusual behaviours. The behaviour-based detection engines is based on 'neural networks'. This work considers the feasibility of implementing 'neural network' fraud engine on a smart card platforms.Anglai

An Investigation into the Critical Success Factors for E-Banking Frauds Prevention in Nigeria

E-Banking frauds is an issue experienced globally and continues to prove costly to both banks and customers. Frauds in e-banking services occur due to various compromises in security, ranging from weak authentication systems to insufficient internal controls. Although some security frameworks to address this issue of fraud have been proposed, the problem of e-banking fraud remains due to the inability of these framework to deal with organisational issues. With limited research in this area, the study sets out to identify the organisational Critical Success Factors (CSF) for E-Banking Frauds Prevention in Nigeria by applying CSF theory. A framework is proposed to help improve security from an organisational perspective. The study adopted a mixture of philosophical paradigms which led to the triangulation of research methods; Literature Review, Survey and Case Studies. The Literature Review involved the synthesis of existing literature and identified potential CSF for frauds prevention in e-banking. A total of 28 factors were identified and a conceptual framework was proposed. A 5-point Likert scale survey questionnaire was sent to retail bank staff in Nigeria to rate the criticality of the factors. A total of 110 useable responses were received at a response rate of 23.9%. Similar interrelated factors were grouped using a Principal Component Analysis. Finally, case studies with 4 banks in Nigeria were carried out to deepen our understanding. The study identified a total of 10 CSF which spanned across strategic, operational and technological factor categories. These included ‘Management Commitment’, ‘Engagement of Subject Matter Experts’ and ‘Multi-Layer Authentication’ amongst others. In addition, new CSF such as ‘Risk-Based Transactional Controls’, ‘People Awareness & Training’ and ‘Bank Agility via Data Driven Decision Making’ were identified. Finally, these CSF were grouped into an e-banking frauds prevention framework. This study is a pioneer study that extends theory to propose a CSF-based frauds prevention framework for banks in Nigeria