A framework for ID fraud prevention policies in E-tailing sector

Soomro, Zahoor Ahmed; Shah, Mohak; Thatcher, Jason Bennett

doi:10.1016/j.cose.2021.102403

Cited by 4 publications

(2 citation statements)

References 34 publications

(67 reference statements)

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“…data leakage malware, salami technique) to disrupt the normal function of the targeted system (see, for example, Nicholls et al , 2021). Other study objectives can be identifying factors related to preventing online fraud and data security, such as security auditing and data classification (see, for example, Soomro et al , 2021). Based on the provided explanations, we select the title “computer and online transaction fraud” for cluster three.…”

Section: Analysis Of Publicationsmentioning

confidence: 99%

Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach

Soltani

Kythreotis

Roshanpoor

2023

JFC

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Purpose The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning it into smart literature. This study aims to present a framework for incorporating machine learning into financial statement fraud (FSF) literature analysis. This framework facilitates the analysis of a large amount of literature to show the trend of the field and identify the most productive authors, journals and potential areas for future research. Design/methodology/approach In this study, a framework was introduced that merges bibliometric analysis techniques such as word frequency, co-word analysis and coauthorship analysis with the Latent Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud research articles. Furthermore, the hierarchical clustering method was used on selected subtopics to demonstrate the primary contexts in the literature on FSF. Findings This study has contributed to the literature in two ways. First, this study has determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling and then hierarchy clustering, this study demonstrates the four primary contexts in FSF detection. Research limitations/implications In this study, the authors tried to comprehensively view the studies related to financial fraud conducted over two decades. However, this research has limitations that can be an opportunity for future researchers. The first limitation is due to language bias. This study has focused on English language articles, so it is suggested that other researchers consider other languages as well. The second limitation is caused by citation bias. In this study, the authors tried to show the top articles based on the citation criteria. However, judging based on citation alone can be misleading. Therefore, this study suggests that the researchers consider other measures to check the citation quality and assess the studies’ precision by applying meta-analysis. Originality/value Despite the popularity of bibliometric analysis and topic modeling, there have been limited efforts to use machine learning for literature review. This novel approach of using hierarchical clustering on topic modeling results enable us to uncover four primary contexts. Furthermore, this method allowed us to show the keywords of each context and highlight significant articles within each context.

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Section: Analysis Of Publicationsmentioning

confidence: 99%

Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach

Soltani

Kythreotis

Roshanpoor

2023

JFC

View full text Add to dashboard Cite

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“…During the design process, many non-functional requirements were added, thus enabling the system to function accordingly. The design of the system is mainly based on a model, using a modelling language that provides a visual interface to the system, an effective combination of software and hardware aspects, and also enhances its security requirements verification [16]. In response to the current lack of automated requirements verification tools, an integrated design environment is proposed, where the architecture is defined and also evaluated in simulation, enabling the automatic integration of the corresponding non-functional requirements.…”

Section: Related Workmentioning

confidence: 99%

Analyzing information management and security measures for company computer networks

Zhang

2023

Preprint

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With the rapid development of modern Internet technology, network information, with its unique advantages of immediacy, interactivity, massive volume and multimedia, is widely used in enterprise operation systems as well as in social life, and the ensuing information security risks are highlighted. Based on this, this study mainly constructs an enterprise computer network information management and security policy protection model based on the improved SAE-K means++ algorithm, improves the convergence process of LSTM to enhance its global optimization-seeking capability, subsequently optimizes the model hyperparameters using the improved SAE-K means++ algorithm, and builds an enterprise computer network security posture prediction model The model was subsequently optimized using the improved SAE-K means++ algorithm, and an enterprise computer network security posture prediction model was built. This means that the system not only meets the national requirements for internal network information security protection capabilities, but also meets the market demand for IDC security.

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Blockchain technology in omnichannel retailing: A novel fuzzy large-scale group-DEMATEL & Ordinal Priority approach

Zhao,

Hendalianpour,

Liu

2024

Expert Systems with Applications

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A framework for ID fraud prevention policies in E-tailing sector

Cited by 4 publications

References 34 publications

Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach

Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach

Analyzing information management and security measures for company computer networks

Blockchain technology in omnichannel retailing: A novel fuzzy large-scale group-DEMATEL & Ordinal Priority approach

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