Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

Abstract: This research investigates the application of machine and deep learning techniques for enhancing cybersecurity in smart grid systems through log file analysis within digital forensics and ...

Python-based enterprise risk engine for log analysis, anomaly detection, KRI-based scoring and automated narrative reporting. Designed for SMEs, cybersecurity teams and governance functions as part of ...