Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...
Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...
This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
James Ratcliff joined Game Rant in 2022 as a Gaming News Writer. In 2023, James was offered a chance to become an occasional feature writer for different games and then a Senior Author in 2025. He is ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...
1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...