• Journal of Korean Medical Science
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• v.33 no.46
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• pp.287.1-287.14
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• 2018

Integrity of authorship and peer review practices are important considerations for ethical publishing. Criteria for authorship, as delineated in the guidelines by the International Committee of Medical Journal Editors (ICMJE), have undergone evolution over the decades, and now require fulfillment of four criteria, including the need to be able to take responsibility for all aspects of the manuscript in question. Although such updated authorship criteria were published nearly five years ago, still, many major medical and specialist journals have yet to revise their author instructions to conform to this. Inappropriate authorship practices may include gift, guest or ghost authorship. Existing literature suggests that such practices are still widely prevalent, especially in non-English speaking countries. Another emerging problem is that of peer review fraud, mostly by authors, but also rarely by handling editors. There is literature to suggest that a proportion of such fake peer review may be driven by the support of some unscrupulous external editing agencies. Such inappropriate practices with authorship malpractices or disagreement, or peer review fraud, have resulted in more than 600 retractions each, as identified on the retractions database of Retractionwatch.com. There is a need to generate greater awareness, especially in authors from non-English speaking regions of the world, about inappropriate authorship and unethical practices in peer review. Also, support of any external editing agency should be clearly disclosed by authors at the time of submission of a manuscript.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3723-3737
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• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.113-130
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• 2011

Due to the development of information and communication technology, the global influence on politics, economics, society, and culture has grown. A major example of this impact on the economic sector is the growth of e-commerce, which increases both the speed and efficiency of businesses. In light of these new developments, businesses need to shift away from the misconception that information overwhelms to embrace the enhanced competitiveness that e-commerce provides. However, concern about fraudulent transactions through e-commerce is pertinent because of the loss in both critical revenue and consumer confidence in open markets. Current solutions for fraudulent transactions include real-time monitoring and processing, payment pending, and confirmation through SMS, E-mail, and other wired means. Our research focuses on the management of Fraud Detection Systems (FDS) to safeguard online electronic payment systems. With effective implementation of our research we hope to foster an honorable online trading culture and protect consumers. Future comparative research in domestic and abroad markets would provide further insight into preventing fraudulent transactions.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.65-77
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• 2022

Due to the recent development in electronic financial services, transactions of electronic prepayment are rapidly growing, leading to growing fraud attempts. This paper proposes a methodology that can effectively detect fraud transactions in electronic prepayment by machine learning algorithms, including support vector machines, decision trees, and artificial neural networks. Actual transaction data of electronic prepayment services were collected and preprocessed to extract the most relevant variables from raw data. Two different approaches were explored in the paper. One is a transaction-based approach, and the other is a user ID-based approach. For the transaction-based approach, the first model is primarily based on raw data features, while the second model uses extra features in addition to the first model. The user ID-based approach also used feature engineering to extract and transform the most relevant features. Overall, the user ID-based approach showed a better performance than the transaction-based approach, where the artificial neural networks showed the best performance. The proposed method could be used to reduce the damage caused by financial accidents by detecting and blocking fraud attempts.

• Transportation Technology and Policy
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• v.9 no.3
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• pp.13-18
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• 2012

• Korean Architects
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• s.647
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• pp.126-135
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• 2023

• Korean Architects
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• s.649
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• pp.118-127
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• 2023

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.215-226
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• 2004

As with the fast spread of internet uses in recent years, electronic commerce has evolved. The proliferation of electronic commerce has increased diverse forms of fraud cases since internet helps intended criminals remain anonymous. In absence of effective tools to warrant the reliability of parties offering products or services through electronic commerce, consumers have to absorb damages unfairly. Internet escrow service has been considered to be an option to establish reliability between buyers and sellers and to protect consumers from possible fraud cases. However, like other industries, fraudulent escrow services have appeared in internet. This study has been intended to analyze fraudulent internet escrow services and to propose an effective regulatory system of internet escrow services. To do that, this study benchmarked the regulation of the State of California, primarily focusing on the formation of escrow company, regulation of escrow business, and remedies for wrongdoing, so Korea can consider the adoption of similar systems.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.597-602
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• 2007

데이터 마이닝 분야에서 앙상블 모형의 유용성은 널리 인정되고 있다. 앙상블을 구성하는 단위모형들 사이의 다양성이 보장되는 경우, 최종 모형의 정확성 및 안정성이 향상되기 때문이다. 하지만, 얼마나 많은 단위 모형들이 어떤 방식으로 결합되어야 하는가에 대해서는 아직도 더 많은 연구가 필요하다. 본 연구에서는 신용카드 부정사용 유형 중 하나인 현금불법융통 문제에 대해 앙상블 모형의 유용성을 검증하고자 한다. 부정행위 적발 모형은 전형적인 분류 문제의 한 유형이나, 클래스간 불균형이 매우 심하다는 특징이 있다. 따라서, 현금불법융통 문제에 적합한 다양성(Diversity) 척도를 개발하여 최소한의 단위모형들로 앙상블 모형을 구성하는 방안을 제시하였다. 축소된 앙상블 모형이 많은 수의 모형을 결합한 앙상블 모형과 거의 같은 정확성 및 안정성을 보임을 국내 신용카드사의 실제 자료를 사용하여 입증하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.184-187
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• 2001

The purpose of this study is to find the perceived risk which influences consumers' purchase attitudes so that consumers' participation in electronic commerce could be enhanced. Consumer behavior involves risk in the sense that any action of a consumer will produce consequences which one cannot anticipate, and some of which are at least likely to be unpleasant. The types of perceived risks are financial risk, performance risk, social risk, psychological risk, time loss, opportunity loss, privacy risk, fashion loss, delivery risk, seller's response risk and seller's fraud risk The findings are as follows: $\circled1$ The financial risk, performance risk, time loss, delivery risk, seller's response risk and seller's fraud risk have negative effects on the consumers' purchase attitudes. $\circled2$ There is no difference in the level of perceived risk according to the demographic factors such as age, education and income level.