Lightweight intrusion detection for edge computing networks using
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Machine learning based intrusion detection as a service Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization [PeerJ]
Security as a Service Platform LeveragingMulti-Access Edge Computing InfrastructureProvisions – NetsLab
Sensors, Free Full-Text
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Lightweight Intrusion Detection Model of the Internet of Things with Hybrid Cloud-Fog Computing
Frontiers Smarter Grid in the 5G Era: A Framework Integrating Power Internet of Things With a Cyber Physical System
Intelligent intrusion detection framework for multi-clouds – IoT environment using swarm-based deep learning classifier, Journal of Cloud Computing
Building a Trust Model for Secure Data Sharing (TM-SDS) in Edge Computing Using HMAC Techniques
Progress of Machine Learning in the Field of Intrusion Detection Systems
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL) - Wani - 2021 - CAAI Transactions on Intelligence Technology - Wiley Online Library
Intelligent intrusion detection framework for multi-clouds – IoT environment using swarm-based deep learning classifier, Journal of Cloud Computing
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