Welcome to the Network Anomaly Detection project! This repository showcases a practical application of machine learning in cybersecurity by monitoring and detecting unusual activities in a network.

Due to the situational and contextual individuality of engineering work, the in-progress monitoring and assessment of those factors that contribute to the success and performance in a given scenario ...

The lack of a precise semantics for UML activity diagrams makes the reasoning on models constructed using such diagrams infeasible. However, such diagrams are widely used in domains that require a ...