User behavior analysis for detecting compromised user Accounts: A review paper

M Jurišić, I Tomičić, P Grd - Cybernetics and Information Technologies, 2023 - sciendo.com
The rise of online transactions has led to a corresponding increase in online criminal
activities. Account takeover attacks, in particular, are challenging to detect, and novel …

Sustainable response system building against insider-led cyber frauds in banking sector: a machine learning approach

NC Roy, S Prabhakaran - Journal of Financial Crime, 2022 - emerald.com
Purpose This paper aims to focus on the different types of insider-led cyber frauds that
gained mainstream attention in recent large-scale fraud events involving prominent Indian …

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

N Chhabra Roy, S Prabhakaran - Aslib Journal of Information …, 2023 - emerald.com
Purpose The study aims to overview the different types of internal-led cyber fraud that have
gained mainstream attention in recent major-value fraud events involving prominent Indian …

Credit card fraud detection technique by applying graph database model

D Prusti, D Das, SK Rath - Arabian Journal for Science and Engineering, 2021 - Springer
Digital transactions using credit cards are observed to be increasing day by day because of
the convenience in operation. It is a matter of great concern for credit card users as well as …

[HTML][HTML] A real-time prescriptive solution for explainable cyber-fraud detection within the iGaming industry

D Farrugia, C Zerafa, T Cini, B Kuasney, K Livori - Sn computer science, 2021 - Springer
This paper presents a real-time fully autonomous prescriptive solution for explainable cyber-
fraud detection within the iGaming industry. We demonstrate how our solution facilitates the …

Insider employee-led cyber fraud (IECF) in Indian banks: from identification to sustainable mitigation planning

NC Roy, S Prabhakaran - Behaviour & Information Technology, 2024 - Taylor & Francis
This paper explores the different insider employee-led cyber frauds (IECF) based on the
recent large-scale fraud events of prominent Indian banking institutions. Examining the …

Comparative analysis of machine learning methods application for financial fraud detection

A Menshchikov, V Perfilev, D Roenko… - … 32nd Conference of …, 2022 - ieeexplore.ieee.org
This paper addresses the fraud detection problem in the context of Big Data used in remote
banking systems. The paper aims to propose a new algorithm for automatic detection of …

Robust P2P networking connectivity estimation engine for permissionless Bitcoin cryptocurrency

HJ Hong, W Fan, S Wuthier, J Kim, CE Chow, X Zhou… - Computer Networks, 2022 - Elsevier
Blockchain relies on the underlying peer-to-peer (P2P) networking to broadcast and get up-
to-date on the blocks and transactions. Because of the blockchain operations' reliance on …

Combating Network Intrusions using Machine Learning Techniques with Multilevel Feature Selection Method

TC Olayinka, CC Ugwu, OJ Okhuoya… - 2022 IEEE Nigeria …, 2022 - ieeexplore.ieee.org
The heavy dependency on the internet, as well as other emerging technologies for access,
storage, and sharing of information, has triggered a proportional increase in cyberattacks …

GRAFRAUD: Fraud detection using graph databases and neural networks

A Sayar, Ş Arslan, AS Raina… - 2023 4th International …, 2023 - ieeexplore.ieee.org
The issue of fraud has become a significant concern for many companies, particularly in the
finance sector, but the traditional methods of detecting fraud are no longer adequate …