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Financial fraud detection is one of the core technological assets of Fintech companies. It saves tens of millions of money fro m Chinese Fintech companies since the bad loan rate is more than 10%. HC Financial Service Group is the 3rd…

其他计算机科学 · 计算机科学 2019-10-07 Hao Wang

Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has…

密码学与安全 · 计算机科学 2015-10-27 J. West , Maumita Bhattacharya , R. Islam

The recent decade witnessed a surge of increase in financial crimes across the public and private sectors, with an average cost of scams of $102m to financial institutions in 2022. Developing a mechanism for battling financial crimes is an…

机器学习 · 计算机科学 2023-04-20 Haobo Zhang , Junyuan Hong , Fan Dong , Steve Drew , Liangjie Xue , Jiayu Zhou

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are…

密码学与安全 · 计算机科学 2026-01-21 Karthikeyan V. R. , Premnath S. , Kavinraaj S. , J. Sangeetha

The UK anti-fraud charity Fraud Advisory Panel (FAP) in their review of 2016 estimates business costs of fraud at 144 billion, and its individual counterpart at 9.7 billion. Banking, insurance, manufacturing, and government are the most…

机器学习 · 计算机科学 2022-05-11 Tuan Tran

Credit card fraud is an ongoing problem for almost all industries in the world, and it raises millions of dollars to the global economy each year. Therefore, there is a number of research either completed or proceeding in order to detect…

机器学习 · 计算机科学 2020-07-30 Yusuf Yazici

Card payment fraud is a serious problem, and a roadblock for an optimally functioning digital economy, with cards (Debits and Credit) being the most popular digital payment method across the globe. Despite the occurrence of fraud could be…

密码学与安全 · 计算机科学 2020-12-01 Bemali Wickramanayake , Dakshi Kapugama Geeganage , Chun Ouyang , Yue Xu

With an increase in financial accounting fraud in the current economic scenario experienced, financial accounting fraud detection has become an emerging topics of great importance for academics, research and industries. Financial fraud is a…

其他计算机科学 · 计算机科学 2013-09-05 H. Lookman Sithic , T. Balasubramanian

Credit card fraud has emerged as major problem in the electronic payment sector. In this survey, we study data-driven credit card fraud detection particularities and several machine learning methods to address each of its intricate…

机器学习 · 计算机科学 2020-10-14 Yvan Lucas , Johannes Jurgovsky

With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to…

机器学习 · 计算机科学 2019-12-09 Niloofar Yousefi , Marie Alaghband , Ivan Garibay

Accounting fraud is a global concern representing a significant threat to the financial system stability due to the resulting diminishing of the market confidence and trust of regulatory authorities. Several tricks can be used to commit…

机器学习 · 统计学 2018-05-09 Maria Jofre , Richard Gerlach

The rise of digital payments has caused consequential changes in the financial crime landscape. As a result, traditional fraud detection approaches such as rule-based systems have largely become ineffective. AI and machine learning…

密码学与安全 · 计算机科学 2021-03-05 E. Kurshan , H. Shen

The extensive use of the internet is continuously drifting businesses to incorporate their services in the online environment. One of the first spectrums to embrace this evolution was the banking sector. In fact, the first known online…

机器学习 · 计算机科学 2020-09-15 Arianit Mehana , Krenare Pireva Nuci

The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications. While this has hitherto been tackled through data analysis techniques, the resemblances between this and other…

社会与信息网络 · 计算机科学 2017-06-08 Massimiliano Zanin , Miguel Romance , Santiago Moral , Regino Criado

Collaborative fraud, where multiple fraudulent accounts coordinate to exploit online payment systems, poses significant challenges due to the formation of complex network structures. Traditional detection methods that rely solely on…

机器学习 · 计算机科学 2025-12-23 Chi Liu

Fraudulent claim detection is one of the greatest challenges the insurance industry faces. Alibaba's return-freight insurance, providing return-shipping postage compensations over product return on the e-commerce platform, receives…

密码学与安全 · 计算机科学 2020-03-02 Chen Liang , Ziqi Liu , Bin Liu , Jun Zhou , Xiaolong Li , Shuang Yang , Yuan Qi

The literature on fraud analytics and fraud detection has seen a substantial increase in output in the past decade. This has led to a wide range of research topics and overall little organization of the many aspects of fraud analytical…

密码学与安全 · 计算机科学 2024-07-29 Christopher Bockel-Rickermann , Tim Verdonck , Wouter Verbeke

In recent years, financial fraud detection systems have become very efficient at detecting fraud, which is a major threat faced by e-commerce platforms. Such systems often include machine learning-based algorithms aimed at detecting and…

密码学与安全 · 计算机科学 2023-12-05 Chen Doytshman , Satoru Momiyama , Inderjeet Singh , Yuval Elovici , Asaf Shabtai

Although procurement fraud is always a critical problem in almost every free market, audit departments still have a strong reliance on reporting from informed sources when detecting them. With our generous cooperator, SF Express, sharing…

机器学习 · 计算机科学 2023-04-21 Jin Bai , Tong Qiu

Financial crimes like money laundering and terrorism financing can have significant impacts on society, including loss of trust in the integrity of the financial system, misuse and mismanagement of public funds, increase in societal…

密码学与安全 · 计算机科学 2026-02-17 Yang Li , Thilina Ranbaduge , Kee Siong Ng
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