A semantic rule based digital fraud detection

Digital fraud has immensely affected ordinary consumers and the finance industry. Our dependence on internet banking has made digital fraud a substantial problem. Financial institutions across the globe are trying to improve their digital fraud detection and deterrence capabilities. Fraud detection is a reactive process, and it usually incurs a cost to save the system from an ongoing malicious activity. Fraud deterrence is the capability of a system to withstand any fraudulent attempts. Fraud deterrence is a challenging task and researchers across the globe are proposing new solutions to improve deterrence capabilities. In this work, we focus on the very important problem of fraud deterrence. Our proposed work uses an Intimation Rule Based (IRB) alert generation algorithm. These IRB alerts are classified based on severity levels. Our proposed solution uses a richer domain knowledge base and rule-based reasoning. In this work, we propose an ontology-based financial fraud detection and deterrence model

An Examination of E-Banking Fraud Prevention and Detection in Nigerian Banks

E-banking offers a number of advantages to financial institutions, including convenience in terms of time and money. However, criminal activities in the information age have changed the way banking operations are performed. This has made e-banking an area of interest. The growth of cybercrime – particularly hacking, identity theft, phishing, Trojans, service denial attacks and account takeover– has created several challenges for financial institutions, especially regarding how they protect their assets and prevent their customers from becoming victims of cyber fraud. These criminal activities have remained prevalent due to certain features of cyber, such as the borderless nature of the internet and the continuous growth of the computer networks. Following these identified challenges for financial institutions, this study examines e-banking fraud prevention and detection in the Nigerian banking sector; particularly the current nature, impacts, contributing factors, and prevention and detection mechanisms of e-banking fraud in Nigerian banking institutions. This study adopts mixed research methods with the aid of descriptive and inferential analysis, which comprised exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) for the quantitative data analysis, whilst thematic analysis was used for the qualitative data analysis. The theoretical framework was informed by Routine Activity Theory (RAT) and Fraud Management Lifecycle Theory (FMLT). The findings show that the factors contributing to the increase in e-banking fraud in Nigeria include ineffective banking operations, internal control issues, lack of customer awareness and bank staff training and education, inadequate infrastructure, presence of sophisticated technological tools in the hands of fraudsters, negligence of banks’ customers concerning their e-banking account devices, lack of compliance with the banking rules and regulations, and ineffective legal procedure and law enforcement. In addition, the enforcement of rules and regulations in relation to the prosecution of financial fraudsters has been passive in Nigeria. Moreover, the findings also show that the activities of each stage of fraud management lifecycle theory are interdependent and have a collective and considerable influence on combating e-banking fraud. The results of the findings confirm that routine activity theory is a real-world theoretical framework while applied to e-banking fraud. Also, from the analysis of the findings, this research offers a new model for e-banking fraud prevention and detection within the Nigerian banking sector. This new model confirms that to have perfect prevention and detection of e-banking fraud, there must be a presence of technological mechanisms, fraud monitoring, effective internal controls, customer complaints, whistle-blowing, surveillance mechanisms, staff-customer awareness and education, legal and judicial controls, institutional synergy mechanisms of in the banking systems. Finally, the findings from the analyses of this study have some significant implications; not only for academic researchers or scholars and accounting practitioners, but also for policymakers in the financial institutions and anti-fraud agencies in both the private and public sectors

Cyber Safety: A theoretical Insight

This paper is written by the EUCPN Secretariat following the topic of the Estonian Presidency of the Network, which is Cyber Safety. It gives a theoretical insight in what Cyber Safety is. Furthermore, we take interest in what the exact object is of cybercrime and have a deeper look into two European policy priorities, namely cyber-attacks and payment fraud. Moreover, these priorities are the subject of the European Crime Prevention award. The goal of this paper is to add to the digital awareness of local policy-makers and practitioners on a theoretical level. A toolbox will follow with legislative measures, existing policies and best practices on this topic

Digital Strategic Initiatives: Conceptualization and Illustration

This essay responds to calls for discerning so-called IT “x” and digital “x” phenomena. Research in this area promises to make an important contribution since the emergence of digital “x” labels runs the risk of diluting the core of IS literature. Our paper advances a preliminary definition of key constructs: digital strategic initiatives and digital resources, differentiating the latter from traditional conceptualizations of IT or IS resources. It also delineates two different approaches to the execution of digital strategic initiatives: a) orchestration of digital resources and b) creation of novel digital resources. We demonstrate the first one with a case illustration of home grocery delivery and the second with the case of a dark kitchen provider in the restaurant industry

Neural network algorithms for fraud detection: a comparison of the complementary techniques in the last five years

Purpose: The purpose of this research is to analyse the complementary updates and techniques in the optimization of the results of neural network algorithms (NNA) in order to detect financial fraud, providing a comparison of the trend, addressed field and efficiency of the models developed in current research. Design/Methodology/Approach: The author performed a qualitative study where a compilation and selection of literature was carried out, in terms of defining the conceptual analysis, database and search strategy, consequently selecting 32 documents. Subsequently, the comparative analysis was carried out, in turn being able to determine the most used and efficient complementary technique in the last five years. Findings: The results of the comparative analysis depicted that in 2019 there was a greater impact of research based on NNA with 11 studies. 27 complementary updates and techniques were identified related to NNA, where deep neural network algorithms (DNN), convolutional neural network (CNN) and SMOTE neural network. Finally, the evaluation of effectiveness in the collected techniques achieved an average accuracy ranging between 79% and 98.74% with an overall accuracy value of 91.32%. Originality/Value: Being a technique which is applied and compared in diverse studies, ANNs uses a wide range of mechanisms concerning training and classification of data. According to the findings of this research, the complementary techniques contribute to the progress and optimization of algorithms regarding financial fraud detection, having a high degree of effectiveness concerning on-line and credit card fraud

Perceptions of online fraud and the impact on the countermeasures for the control of online fraud in Saudi Arabian financial institutions

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonThis study addresses the impact of countermeasures in the control and prevention of online fraud in Saudi Arabia and the influence of the environmental context. Combatting online fraud is facilitated when the public is fully educated and is aware of its types and of the prevention methods available. People are reliant on the Internet; the possibility of being breached by hackers and fraudsters is growing, especially as socialising, online shopping and banking are carried out through personal computers or mobile devices. Online fraud has been described as an epidemic that has spread to most online activities. Its prevalence has been noted to be in regions where there is high adoption of e-commerce, and, along with it, large online financial transactions. The argument is therefore the measures taken are either are inadequate or have failed to effectively address all the issues because of the organisational and environmental context of the country. This research aims to examine online fraud perceptions and the countermeasures designed and used by financial institutions in Saudi Arabia to control and prevent online fraud in its environmental context, to examine the effectiveness/impact of the countermeasures and to examine the factors that may affect/influence the impact of the countermeasures. The qualitative method approach was chosen to ensure balanced coverage of the subject matter. The nature of the research requires a broader, in-depth, examination of the experiences of the participants from their own perspective. Meanwhile levels of awareness are low, because of lack of knowledge and training, a lack of government sensitisation and the religious inclinations of the population. The findings also confirm the efforts of organisations to put in place countermeasures using various technological means, coupled with procedural controls and checks. The measures create obstacles to most customers, who find it cumbersome to engage in online activities because of those procedures and checks. The findings also show two types of regulations: government and organisational rules, with different foci and purposes, which are mostly centred on the monitoring of Internet operations and operational guidelines. The enforcement of rules in the light of prosecuting offenders has also been minimal and passive. The countermeasures of most banks/organisations mostly focus on prevention and detection. However, the findings suggest that the activities in each component and their interrelationships have a collective impact on combatting online fraud. The success of any effort or approach to combat fraudulent activities therefore depends on the activities of the four countermeasure components