The proposed insider threat detection tool leverages a hybrid approach combining Machine Learning (ML) and rule-based logic to identify suspicious activities within DevSecOps and pod-based ...

Finding Design Patterns inside the code gives a hint to software engineer about the methodologies adopted and the problems found during its design phases and helps the engineer to evolve and maintain ...

Four machine learning methods were implemented to detect compensatory movement patterns and showed good reliability and precision. Both k-nearest neighbor (kNN) and support vector machine (SVM) ...

Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the ...

We can train a machine-learning system to identify the aforementioned anomalies as well as patterns and relations among data in different ways. The most common are: Supervised learning: We provide the ...

No matter the type of fraud, machine learning is a powerful tool to keep it from becoming a serious problem — regardless of how our circumstances may change.