Results 81 to 90 of about 5,600,956 (153)

Adversarially Robust and Explainable AI for Real-Time Financial Fraud Detection in High-Frequency Transactions

International Journal of Management and Data Analytics
The rapid expansion of digital financial transactions has led to an increase in sophisticated fraud techniques, particularly within high-frequency trading and online banking systems.
Milad Rahmati, Nima Rahmati
doaj  

The Fraud in the Health Systems - A Financial of Ethic Problem? [PDF]

No matter if it is committed by the patients, medical stuff, medicinal companies or a third party, the sanitary fraud seems to be simultaneously a financial problem – because every year hundred of thousands of Euros are lost from the national budgets ...
Corina Graziella DUMITRU, Viorel BATCA, Stefan RAILEANU   +2 more
core  

AI in Financial Fraud Detection

AbstractThis research paper, explores the transformative role of Artificial Intelligence (AI) in financial fraud detection. As digitalfinancial transactions surge globally, traditional rule-based systems struggle to keep pace with the sophistication ofmodern fraud.
Ankit Kumar Taneja, Ajay Sharma, Abhishek Jangid   +2 more
openaire   +1 more source

Research on methods and techniques in financial fraud detection field.

, 2019
Research on methods and techniques in financial fraud detection field.
Junheng Huang (7274054), Fang Lv (300995), Wei Wang (17594), Yunxiao Sun (2547430), Yuliang Wei (6534320), Bailing Wang (764488)   +5 more
core   +1 more source

FRAUD DETECTION IN FINANCIAL TRANSACTONS

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently become a widespread menace in companies and organizations. Conventional techniques such as manual verifications and inspections are imprecise, costly, and time consuming for identifying such fraudulent activities. With the advent of artificial intelligence,
openaire   +1 more source

Modeling Practice of Graph Neural Networks in Related Party Transaction Recognition and Financial Fraud Detection

SAGE Open
Detecting financial fraud in Related Party Transactions (RPTs) remains a critical challenge for financial institutions due to complex corporate structures, obfuscation tactics, and limitations of conventional rule-based detection systems.
Xi Zhang
doaj   +1 more source

Role of AI in preventing financial crime: A comprehensive analytical review

Journal of Economic Criminology
Financial crime is now considered the biggest threat to the world economy. It is increasing rapidly, with huge losses every year. Traditional fraud detection methods have proven inadequate in the race, with fraudsters continuously adopting newer tactics ...
Nasir Uddin
doaj   +1 more source

Booms, Busts, and Fraud [PDF]

We examine firm managers' incentives to commit fraud in a model where firms seek funding from investors and investors can monitor firms at a cost in order to get more precise information about firm prospects.
Paul Povel, Rajdeep Singh, Andrew Winton
core  

Detecting Corporate Fraud in Ind Detecting Corporate Fraud in Indonesia's Financial Sector: Tax Avoidant using the Fraud Heptagon Theory: Detecting Corporate Fraud in Indonesia's Financial Sector: Tax Avoidant using the Fraud Heptagon Theory

This study aims to detect corporate fraud in financial sector companies listed on the Indonesia Stock Exchange (IDX) using the fraud heptagon approach, as well as adding religious variables as additional explanatory factors.
FARDIMAN, JIBRIL
core   +1 more source

Corporate Governance as a Detector of Financial Statement Fraud: Systematic Literature Review [PDF]

Financial reporting fraud occurs when someone misunderstands the financial condition of a company deliberately or not. One of the causes of financial statement fraud is poor governance.
Devi, Putu Vidya Shania
core   +1 more source