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Effective risk management solutions become absolutely crucial when financial markets embrace distributed technology and decentralized financing (DeFi). This study offers a thorough survey and comparative analysis of the integration of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-25 Akaash Vishal Hazarika , Mahak Shah , Swapnil Patil , Pradyumna Shukla

Financial fraud detection is an important problem with a number of design aspects to consider. Issues such as algorithm selection and performance analysis will affect the perceived ability of proposed solutions, so for auditors and…

Cryptography and Security · Computer Science 2016-01-07 J. West , Maumita Bhattacharya

Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and both the merchants and financial institutions bear heavy…

Machine Learning · Computer Science 2020-12-08 Thanh Thi Nguyen , Hammad Tahir , Mohamed Abdelrazek , Ali Babar

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…

Machine Learning · Computer Science 2020-07-30 Yusuf Yazici

Credit card is one of the most extensive methods of instalment for both online and offline mode of payment for electronic transactions in recent times. credit cards invention has provided significant ease in electronic transactions.…

Machine Learning · Computer Science 2024-09-23 Sourav Verma , Joydip Dhar

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…

Cryptography and Security · Computer Science 2020-12-01 Bemali Wickramanayake , Dakshi Kapugama Geeganage , Chun Ouyang , Yue Xu

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…

Machine Learning · Computer Science 2020-10-14 Yvan Lucas , Johannes Jurgovsky

Various problems of any credit card fraud detection based on machine learning come from the imbalanced aspect of transaction datasets. Indeed, the number of frauds compared to the number of regular transactions is tiny and has been shown to…

Machine Learning · Computer Science 2022-06-28 François de la Bourdonnaye , Fabrice Daniel

We study the problem of preventing double spending in electronic payment schemes in a distributed fashion. This problem occurs, for instance, when the spending of electronic coins needs to be controlled by a large collection of nodes (eg.…

Cryptography and Security · Computer Science 2008-02-07 Jaap-Henk Hoepman

Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in adversarial settings and regulated based on estimated system states. In this study, we propose a novel highly secure distributed dynamic state…

Cryptography and Security · Computer Science 2019-07-16 Mehmet Necip Kurt , Yasin Yilmaz , Xiaodong Wang

In the financial field of the United States, the application of big data technology has become one of the important means for financial institutions to enhance competitiveness and reduce risks. The core objective of this article is to…

Risk Management · Quantitative Finance 2024-09-17 Shuochen Bi , Yufan Lian , Ziyue Wang

With the rapid growth of technology, especially the widespread application of artificial intelligence (AI) technology, the risk management level of commercial banks is constantly reaching new heights. In the current wave of digitalization,…

Risk Management · Quantitative Finance 2024-04-30 Shuochen Bi , Wenqing Bao

Financial markets are undergoing an unprecedented transformation. Technological advances have brought major improvements to the operations of financial services. While these advances promote improved accessibility and convenience,…

Trading and Market Microstructure · Quantitative Finance 2023-12-05 Agostino Capponi , Garud Iyengar , Jay Sethuraman

The robustness of distributed optimization is an emerging field of study, motivated by various applications of distributed optimization including distributed machine learning, distributed sensing, and swarm robotics. With the rapid…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-29 Shuo Liu

Spurious credit card transactions are a significant source of financial losses and urge the development of accurate fraud detection algorithms. In this paper, we use machine learning strategies for such an aim. First, we apply a mixed…

Machine Learning · Computer Science 2021-12-07 Daniel H. M. de Souza , Claudio J. Bordin

This paper addresses the problem of distributed resilient state estimation and control for linear time-invariant systems in the presence of malicious false data injection sensor attacks and bounded noise. We consider a system operator…

Systems and Control · Electrical Eng. & Systems 2025-07-17 Takumi Shinohara , Karl H. Johansson , Henrik Sandberg

In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a…

The presence of embedded electronics and communication capabilities as well as sensing and control in smart devices has given rise to the novel concept of cyber-physical networks, in which agents aim at cooperatively solving complex tasks…

Systems and Control · Electrical Eng. & Systems 2020-10-28 Giuseppe Notarstefano , Ivano Notarnicola , Andrea Camisa

This essay investigates the role of cost in the development and production of secure integrated circuits. Initially, I make a small introduction on hardware attacks on smart cards and some of the reasons behind them. Subsequently, I…

Risk Management · Quantitative Finance 2021-01-26 Nikolaos Athanasios Anagnostopoulos

A key issue in the control of distributed discrete systems modeled as Markov decisions processes, is that often the state of the system is not directly observable at any single location in the system. The participants in the control scheme…

Information Theory · Computer Science 2017-05-01 Jie Ren , Solmaz Torabi , John MacLaren Walsh
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