Johan Mazel

Network Anomaly Detection: Methods, Systems and Tools

Deep Learning Approach for Intelligent Intrusion Detection System

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

Network Intrusion Detection for IoT Security Based on Learning Techniques

Survey of intrusion detection systems: techniques, datasets and challenges

Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities

The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set

Digital Twin: Enabling Technologies, Challenges and Open Research

Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review

Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

A survey of DDoS attacking techniques and defence mechanisms in the IoT network

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects

Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge