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1 – 10 of over 2000
Article
Publication date: 11 May 2020

Vipin Khattri, Sandeep Kumar Nayak and Deepak Kumar Singh

Currency usage either in the physical or electronic marketplace through chip-based or magnetic strip-based plastic card becoming the vulnerable point for the handlers…

Abstract

Purpose

Currency usage either in the physical or electronic marketplace through chip-based or magnetic strip-based plastic card becoming the vulnerable point for the handlers. Proper education and awareness can only thrive when concrete fraud detection techniques are being suggested together with potential mitigation possibilities. The purpose of this research study is tendering in the same direction with a suitable plan of action in developing the authentication strength metric to give weightage marks for authentication techniques.

Design/methodology/approach

In this research study, a qualitative in-depth exploration approach is being adapted for a better description, interpretation, conceptualization for attaining exhaustive insights into specific notions. A concrete method of observation is being adopted to study various time boxed reports on plastic card fraud and its possible impacts. Content and narrative analysis are being followed to interpret more qualitative and less quantitative story about existing fraud detection techniques. Moreover, an authentication strength metric is being developed on the basis of time, cost and human interactions.

Findings

The archived data narrated in various published research articles represent the local and global environment and the need for plastic card money. It gives the breathing sense and capabilities in the marketplace. The authentication strength metric gives a supporting hand for more solidification of the authentication technique with respect to the time, cost and human ease.

Practical implications

The research study is well controlled and sufficient interpretive. The empirical representation of authentication technique and fraud detection technique identification and suggestive mitigation gives this research study an implication view for the imbibing research youths. An application and metric based pathway of this research study provides a smoother way to tackle futuristic issues and challenges.

Originality/value

This research study represents comprehensive knowledge about the causes of the notion of plastic card fraud. The authentication strength metric represents the novelty of a research study which produced on the basis of rigorous documentary and classified research analysis. The creativity of the research study is rendering the profound and thoughtful reflection of the novel dimension in the same domain.

Article
Publication date: 2 July 2018

Vipin Khattri and Deepak Kumar Singh

This paper aims to provide information of parameters and techniques used in the automated fraud detection system during online transaction. With the increase in the use of…

Abstract

Purpose

This paper aims to provide information of parameters and techniques used in the automated fraud detection system during online transaction. With the increase in the use of online transactions, the concerns regarding data security have also increased. To tackle the frauds, lot of research has been done and plethora of papers are available on the related topics. The purpose of this paper is to provide the clear pathway for researchers to move in the direction of development of automated fraud detection system to prevent the fraud during online transaction.

Design/methodology/approach

This literature review analyses and compares the different types of techniques for detecting fraud during online transaction. An in-depth study of the most prominent journals has been done and the core methodology of the papers has been presented. This article also shed some light on different types of parameters used in fraud detection techniques during online transaction.

Findings

There are vast varieties of various fraud detection techniques, and every technique has completed task in its own way. After studying approximately 41 research papers, 14 books and four reports, in total 30 parameters have been identified and a detailed study of the parameters has been presented. The parameters are also listed with their details that how these parameters are used in the security system for detecting online transaction fraud.

Research limitations/implications

This paper provides empirical insight about the parameters and their prominence in the development of automated fraud detection security system of online transaction. This paper encourages the researchers to development of improved fraud detection system.

Practical implications

This paper will pave the way for researchers to do a focused research on the fraud detection methodologies. The analysis will help in zeroing down the most prevalent topic of research in this field. The researchers will be able to understand the internal details of parameters and techniques used in the fraud detection systems. This literature also helps the research to think in a variety of ways that how these parameters will be used in the development of fraud detection system.

Originality/value

This paper is one of the most comprehensive reviews in its field. It tries and attempts to fill a void created because of lack of compilation of the laid fraud detection parameters.

Details

Journal of Financial Crime, vol. 25 no. 3
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 6 June 2016

Sawsan Saadi Halbouni, Nada Obeid and Abeer Garbou

This paper aims to investigate the role of corporate governance and information technology in fraud prevention and detection within the United Arab Emirates (UAE).

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Abstract

Purpose

This paper aims to investigate the role of corporate governance and information technology in fraud prevention and detection within the United Arab Emirates (UAE).

Design/methodology/approach

This study uses a survey of financial accountants and internal and external auditors to assess their perceptions of the effectiveness of IT and corporate governance as measured in terms of the audit committee’s effectiveness, internal audit functions, external audit functions, culture of honesty and employee training programmes in preventing and detecting fraud in the UAE.

Findings

The results indicate that corporate governance has a moderate role in preventing and detecting fraud in the UAE and that IT has the same role as traditional fraud prevention and detection techniques. The results also show no significant difference between internal and external auditors in their use of technological and traditional techniques during the course of audits.

Research limitations/implications

The findings suggest that the senior management and boards of directors must better understand the importance of their oversight function. The finding that a culture of honesty has a low positive impact on fraud prevention and detection in the UAE indicates that chief executive officers and boards of directors must make more efforts to set the “tone at the top” to improve the corporate environment in terms of integrity and ethics, among other factors. Furthermore, as IT and traditional techniques provide the same function, senior management and boards of directors must be alerted to the importance of developing systematic approaches to fraud investigation that involve greater reliance on technological approaches.

Practical implications

The moderate role of corporate governance suggests that senior management and boards of directors must better understand the importance of their oversight function to meet their obligations and fiduciary responsibilities to stakeholders. Furthermore, greater adoption of IT to detect and prevent fraud contributes to developing a systematic approach to fraud investigation, capable of identifying unusual activity using effective software.

Originality/value

This study contributes to the literature on the role of corporate governance and IT in preventing and detecting fraud, particularly for Middle Eastern countries and other emerging nations. The study may provide insights to academics and practitioners in the UAE and their international counterparts.

Details

Managerial Auditing Journal, vol. 31 no. 6/7
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 31 August 2021

Ezekiel Oluwagbemiga Oyerogba

This study investigates the perception of professionals in the field of accounting, and those associated with forensic auditing, about the knowledge and skills, experience…

Abstract

Purpose

This study investigates the perception of professionals in the field of accounting, and those associated with forensic auditing, about the knowledge and skills, experience and technique that a forensic auditor should possess to provide high-quality services in fraud detection. The study also shows the impact of forensic auditing tools on fraud detection.

Design/methodology/approach

With the use of a self-administered questionnaire, the study adopts a survey design in which 298 respondents participated. Data were subjected to descriptive statistics (ranking, mean and standard deviation), inferential statistics (binary logistic regression and ordinary least square regression).

Findings

The findings indicate that adequate knowledge of economic damage calculation and financial statement valuation is essential for forensic auditors' service. The results also reveal that forensic auditor skills and techniques is a significant predictor for fraud detection in the Nigerian public sector.

Practical implications

The paper draws attention of the federal government parastatals to the need to improve their internal control system to reduce the fraudulent practices in their parastatal. The study also draws the attention of the Nigeria University Commission and the Institute of Chartered Accountants of Nigeria on the needs for revision of the accounting curricular for the training of accounting graduates and professional accountants in Nigeria.

Social implications

The paper is of importance to other developing nation as it provides empirical evidence on the needs to do periodic forensic audits of government corporations.

Originality/value

With the persistent increase in the number of fraudulent cases, current views of those associated with forensic auditing (judiciaries, parastatals, forensic auditors and academics) on mechanisms for timely detection of fraud are needed.

Details

Journal of Accounting in Emerging Economies, vol. 11 no. 5
Type: Research Article
ISSN: 2042-1168

Keywords

Article
Publication date: 8 April 2022

Botond Benedek, Cristina Ciumas and Bálint Zsolt Nagy

The purpose of this paper is to survey the automobile insurance fraud detection literature in the past 31 years (1990–2021) and present a research agenda that addresses…

Abstract

Purpose

The purpose of this paper is to survey the automobile insurance fraud detection literature in the past 31 years (1990–2021) and present a research agenda that addresses the challenges and opportunities artificial intelligence and machine learning bring to car insurance fraud detection.

Design/methodology/approach

Content analysis methodology is used to analyze 46 peer-reviewed academic papers from 31 journals plus eight conference proceedings to identify their research themes and detect trends and changes in the automobile insurance fraud detection literature according to content characteristics.

Findings

This study found that automobile insurance fraud detection is going through a transformation, where traditional statistics-based detection methods are replaced by data mining- and artificial intelligence-based approaches. In this study, it was also noticed that cost-sensitive and hybrid approaches are the up-and-coming avenues for further research.

Practical implications

This paper’s findings not only highlight the rise and benefits of data mining- and artificial intelligence-based automobile insurance fraud detection but also highlight the deficiencies observable in this field such as the lack of cost-sensitive approaches or the absence of reliable data sets.

Originality/value

This paper offers greater insight into how artificial intelligence and data mining challenges traditional automobile insurance fraud detection models and addresses the need to develop new cost-sensitive fraud detection methods that identify new real-world data sets.

Details

Journal of Financial Regulation and Compliance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1358-1988

Keywords

Article
Publication date: 27 July 2021

Anahita Farhang Ghahfarokhi, Taha Mansouri, Mohammad Reza Sadeghi Moghaddam, Nila Bahrambeik, Ramin Yavari and Mohammadreza Fani Sani

The best algorithm that was implemented on this Brazilian dataset was artificial immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using…

Abstract

Purpose

The best algorithm that was implemented on this Brazilian dataset was artificial immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using asexual reproduction optimization (ARO) algorithm, the authors achieved better results in less time. So the authors achieved less cost in a shorter time. Their framework addressed the problems such as high costs and training time in credit card fraud detection. This simple and effective approach has achieved better results than the best techniques implemented on our dataset so far. The purpose of this paper is to detect credit card fraud using ARO.

Design/methodology/approach

In this paper, the authors used ARO algorithm to classify the bank transactions into fraud and legitimate. ARO is taken from asexual reproduction. Asexual reproduction refers to a kind of production in which one parent produces offspring identical to herself. In ARO algorithm, an individual is shown by a vector of variables. Each variable is considered as a chromosome. A binary string represents a chromosome consisted of genes. It is supposed that every generated answer exists in the environment, and because of limited resources, only the best solution can remain alive. The algorithm starts with a random individual in the answer scope. This parent reproduces the offspring named bud. Either the parent or the offspring can survive. In this competition, the one which outperforms in fitness function remains alive. If the offspring has suitable performance, it will be the next parent, and the current parent becomes obsolete. Otherwise, the offspring perishes, and the present parent survives. The algorithm recurs until the stop condition occurs.

Findings

Results showed that ARO had increased the AUC (i.e. area under a receiver operating characteristic (ROC) curve), sensitivity, precision, specificity and accuracy by 13%, 25%, 56%, 3% and 3%, in comparison with AIS, respectively. The authors achieved a high precision value indicating that if ARO detects a record as a fraud, with a high probability, it is a fraud one. Supporting a real-time fraud detection system is another vital issue. ARO outperforms AIS not only in the mentioned criteria, but also decreases the training time by 75% in comparison with the AIS, which is a significant figure.

Originality/value

In this paper, the authors implemented the ARO in credit card fraud detection. The authors compared the results with those of the AIS, which was one of the best methods ever implemented on the benchmark dataset. The chief focus of the fraud detection studies is finding the algorithms that can detect legal transactions from the fraudulent ones with high detection accuracy in the shortest time and at a low cost. That ARO meets all these demands.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 29 June 2010

Philmore Alleyne, Nadini Persaud, Peter Alleyne, Dion Greenidge and Peter Sealy

The purpose of this paper is to explore perceptions of fraud detection techniques in the stock and warehouse cycle in Barbados.

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Abstract

Purpose

The purpose of this paper is to explore perceptions of fraud detection techniques in the stock and warehouse cycle in Barbados.

Design/methodology/approach

The study uses a self‐administered questionnaire, adapted and modified from Owusu‐Ansah et al. The sample is comprised of 64 auditors. The study examines the perceived effectiveness of audit procedures, the influence of size of the audit firm, and the level of audit experience in the choice of specific audit procedures.

Findings

The study indicates that there is a moderate to high perceived effectiveness of standard audit procedures in the detection of fraud in the stock and warehousing cycle in Barbados and that the majority of the “more effective” audit procedures can be classified as field research techniques that are more direct in obtaining evidence. It is found that auditors from larger firms reported higher means for audit procedures. There are mixed findings with respect to the significant relationship between level of auditing experience of auditors and perceived effectiveness of fraud detection techniques. The study also indicates that males consistently rated the level of effectiveness of audit procedures higher than females.

Research limitations/implications

Due to the relatively small sample size, these findings should be interpreted with caution. Nonetheless, the findings of this study do indicate that auditing procedures in this developing country are on par with those of developed countries.

Practical implications

This paper serves to inform audit‐related policies and regulation on the potential threats within the stock and warehouse cycle.

Originality/value

This paper contributes to the limited body of research on fraud detection within the stock and warehouse cycle in small developing countries.

Details

Managerial Auditing Journal, vol. 25 no. 6
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 4 November 2020

Ahmed Aboud and Barry Robinson

This paper aims to explore the effectiveness of fraud prevention and detection techniques, including data analytics, machine learning and data mining, and to understand…

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Abstract

Purpose

This paper aims to explore the effectiveness of fraud prevention and detection techniques, including data analytics, machine learning and data mining, and to understand how widespread the use of data analytics is across different sectors and to identify and understand the potential barriers to implementing these techniques to detect and prevent fraud.

Design/methodology/approach

A survey was administered to 73 Irish businesses to determine to what extent traditional approach, data mining or text mining are being used to prevent or detect fraudulent financial reporting, and to determine the perception level of their effectiveness.

Findings

The study suggests that whilst data analytics is widely used by businesses in Ireland there is an under-utilisation of data analytics as an effective tool in the fight against fraud. The study suggests there are barriers that may be preventing companies from implementing advanced data analytics to detect financial statement fraud and identifies how those barriers may be overcome.

Originality/value

In contrast to the majority of literature on big data analytics and auditing, which lacks empirical insight into the diffusion, effectiveness and obstacles of data analytics, this explanatory study contributes by providing useful insights from the field on big data analytics. While the extant auditing literature generally addresses the avenues of big data utilisation in auditing domain, our study explores particularly the use big data analytics as a fraud prevention and detection techniques.

Details

Accounting Research Journal, vol. 35 no. 1
Type: Research Article
ISSN: 1030-9616

Keywords

Article
Publication date: 13 August 2020

Chandra Sekhar Kolli and Uma Devi Tatavarthi

Fraud transaction detection has become a significant factor in the communication technologies and electronic commerce systems, as it affects the usage of electronic…

Abstract

Purpose

Fraud transaction detection has become a significant factor in the communication technologies and electronic commerce systems, as it affects the usage of electronic payment. Even though, various fraud detection methods are developed, enhancing the performance of electronic payment by detecting the fraudsters results in a great challenge in the bank transaction.

Design/methodology/approach

This paper aims to design the fraud detection mechanism using the proposed Harris water optimization-based deep recurrent neural network (HWO-based deep RNN). The proposed fraud detection strategy includes three different phases, namely, pre-processing, feature selection and fraud detection. Initially, the input transactional data is subjected to the pre-processing phase, where the data is pre-processed using the Box-Cox transformation to remove the redundant and noise values from data. The pre-processed data is passed to the feature selection phase, where the essential and the suitable features are selected using the wrapper model. The selected feature makes the classifier to perform better detection performance. Finally, the selected features are fed to the detection phase, where the deep recurrent neural network classifier is used to achieve the fraud detection process such that the training process of the classifier is done by the proposed Harris water optimization algorithm, which is the integration of water wave optimization and Harris hawks optimization.

Findings

Moreover, the proposed HWO-based deep RNN obtained better performance in terms of the metrics, such as accuracy, sensitivity and specificity with the values of 0.9192, 0.7642 and 0.9943.

Originality/value

An effective fraud detection method named HWO-based deep RNN is designed to detect the frauds in the bank transaction. The optimal features selected using the wrapper model enable the classifier to find fraudulent activities more efficiently. However, the accurate detection result is evaluated through the optimization model based on the fitness measure such that the function with the minimal error value is declared as the best solution, as it yields better detection results.

Article
Publication date: 1 February 1998

Rocco R. Vanasco

This paper examines the role of professional associations, governmental agencies, and international accounting and auditing bodies in promulgating standards to deter and…

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Abstract

This paper examines the role of professional associations, governmental agencies, and international accounting and auditing bodies in promulgating standards to deter and detect fraud, domestically and abroad. Specifically, it focuses on the role played by the US Securities and Exchange Commission (SEC), the American Institute of Certified Public Accountants (AICPA), the Institute of Internal Auditors (IIA), the Institute of Management Accountants (IMA), the Association of Certified Fraud Examiners (ACFE), the US Government Accounting Office (GAO), and other national and foreign professional associations, in promulgating auditing standards and procedures to prevent fraud in financial statements and other white‐collar crimes. It also examines several fraud cases and the impact of management and employee fraud on the various business sectors such as insurance, banking, health care, and manufacturing, as well as the role of management, the boards of directors, the audit committees, auditors, and fraud examiners and their liability in the fraud prevention and investigation.

Details

Managerial Auditing Journal, vol. 13 no. 1
Type: Research Article
ISSN: 0268-6902

Keywords

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