A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions
Internet usage has grown exponentially, with individuals and companies performing multiple
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
A deep learning ensemble with data resampling for credit card fraud detection
Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …
grown tremendously, accompanied by a corresponding increase in credit card fraud …
A Decade of Research on Data Mining Techniques for Predicting Employee Turnover: A Systematic Literature Review
This study presents a comprehensive and systematic review of the data mining (DM)
techniques used to predict employee turnover in the past decade. A total of 36 relevant peer …
techniques used to predict employee turnover in the past decade. A total of 36 relevant peer …
Fraud detection in banking data by machine learning techniques
SK Hashemi, SL Mirtaheri, S Greco - IEEE Access, 2022 - ieeexplore.ieee.org
As technology advanced and e-commerce services expanded, credit cards became one of
the most popular payment methods, resulting in an increase in the volume of banking …
the most popular payment methods, resulting in an increase in the volume of banking …
[HTML][HTML] An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes
Electronic payment methods have become increasingly popular for business transactions,
both online and in-person, across the globe. Anomalies like online fraud and default …
both online and in-person, across the globe. Anomalies like online fraud and default …
Cybersecurity enhancement to detect credit card frauds in health care using new machine learning strategies
E Jayanthi, T Ramesh, RS Kharat… - Soft Computing, 2023 - Springer
As the usage of credit cards has become more common in health care applications of
everyday life, banks have found it very difficult to detect credit card fraud (CCF) …
everyday life, banks have found it very difficult to detect credit card fraud (CCF) …
A machine learning method with hybrid feature selection for improved credit card fraud detection
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …
credit card transactions have increased significantly. Machine learning (ML) has been vital …
[HTML][HTML] An effective fraud detection using competitive swarm optimization based deep neural network
T Karthikeyan, M Govindarajan, V Vijayakumar - Measurement: Sensors, 2023 - Elsevier
Frauds have no persistent patterns. They constantly alter their behaviour, necessitating the
use of unsupervised learning. Fraudsters gain access to latest technology that enables them …
use of unsupervised learning. Fraudsters gain access to latest technology that enables them …
Credit card fraud detection: an improved strategy for high recall using KNN, LDA, and linear regression
Efficiently and accurately identifying fraudulent credit card transactions has emerged as a
significant global concern along with the growth of electronic commerce and the proliferation …
significant global concern along with the growth of electronic commerce and the proliferation …
Sustainable financial fraud detection using garra rufa fish optimization algorithm with ensemble deep learning
M Maashi, B Alabduallah, F Kouki - Sustainability, 2023 - mdpi.com
Sustainable financial fraud detection (FD) comprises the use of sustainable and ethical
practices in the detection of fraudulent activities in the financial sector. Credit card fraud …
practices in the detection of fraudulent activities in the financial sector. Credit card fraud …