ADCL: toward an adaptive network intrusion detection system using collaborative learning in IoT networks
With the widespread of cyber attacks, network intrusion detection system (NIDS) is becoming
an important and essential tool to protect Internet of Things (IoT) environments. However, it …
an important and essential tool to protect Internet of Things (IoT) environments. However, it …
ERID: A deep learning-based approach towards efficient real-time intrusion detection for IoT
M Lin, B Zhao, Q Xin - 2020 IEEE eighth international …, 2020 - ieeexplore.ieee.org
In the 5G and Internet of Things (IoT) era, the threat of network intrusions has greatly affected
people's work and life. The increasing complexity of intelligent devices in IoT brings huge …
people's work and life. The increasing complexity of intelligent devices in IoT brings huge …
[HTML][HTML] Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework
The widespread use of smart devices and the numerous security weaknesses of networks
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
[HTML][HTML] A feedforward–convolutional neural network to detect low-rate dos in iot
The lack of standardization and the heterogeneous nature of the Internet of Things (IoT) has
exacerbated the issue of security and privacy. In literature, to improve security at the network …
exacerbated the issue of security and privacy. In literature, to improve security at the network …
Effective anomaly detection using deep learning in IoT systems
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …
concerning IoT devices, which are quickly spreading throughout various situations of …
[HTML][HTML] CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …
world more closely than ever before. However, the growing number of connected devices …
[PDF][PDF] Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments
In this paper, we analyze the network attacks that can be launched against IoT gateways,
identify the relevant metrics to detect them, and explain how they can be computed from …
identify the relevant metrics to detect them, and explain how they can be computed from …
A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey
A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …
attention and technical revolution in recent years. Significantly, IoT connects and integrates …
Toward a lightweight intrusion detection system for the internet of things
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …