Lightweight intrusion detection for edge computing networks using
Por um escritor misterioso
Last updated 21 setembro 2024
A Design of an Integrated Cloud-based Intrusion Detection System with Third Party Cloud Service
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
PDF] Toward a Lightweight Intrusion Detection System for the Internet of Things
Frontiers A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL) - Wani - 2021 - CAAI Transactions on Intelligence Technology - Wiley Online Library
Evaluation of soft computing in intrusion detection for secure social Internet of Things based on collaborative edge computing
Sensors, Free Full-Text
Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset - Erman Özer, Murat İskefiyeli, Jahongir Azimjonov, 2021
Intelligent intrusion detection framework for multi-clouds – IoT environment using swarm-based deep learning classifier, Journal of Cloud Computing
An Intelligent Intrusion Detection and Classification System using CSGO-LSVM Model for Wireless Sensor Networks (WSNs)
Intrusion detection system using distributed multilevel discriminator in GAN for IoT system - Poongodi - 2023 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
Edge-Based Intrusion Detection for IoT devices ACM Transactions on Management Information Systems
PDF) Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset
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