Performance improvement of intrusion detection system for detecting attacks on internet of things and edge of things
YK Saheed - Artificial Intelligence for Cloud and Edge Computing, 2022 - Springer
Edge computing (EC) is a computing methodology that is distributed in nature that brings
data storage and computation closer to the place where it is to be used to accelerate …
data storage and computation closer to the place where it is to be used to accelerate …
[HTML][HTML] Feature extraction for machine learning-based intrusion detection in IoT networks
A large number of network security breaches in IoT networks have demonstrated the
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
A Wani, R Khaliq - CAAI Transactions on Intelligence …, 2021 - Wiley Online Library
The participation of ordinary devices in networking has created a world of connected
devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every …
devices rapidly. The Internet of Things (IoT) includes heterogeneous devices from every …
A stratified IoT deep learning based intrusion detection system
The Internet of Things (IoT) enables billions of intelligent linked devices to communicate
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
through the IP standard. With the Internet and the Cloud Computing environment, nearly any …
A deep reinforcement learning based intrusion detection system (drl-ids) for securing wireless sensor networks and internet of things
H Benaddi, K Ibrahimi, A Benslimane… - Wireless Internet: 12th EAI …, 2020 - Springer
Many modern infrastructures incorporate a number of sensors and actuators interconnected
via wireless links using Wireless Sensor Network (WSN) and Internet of Things (IoT) …
via wireless links using Wireless Sensor Network (WSN) and Internet of Things (IoT) …
Machine learning-based intrusion detection: feature selection versus feature extraction
Abstract Internet of Things (IoTs) has been playing an important role in many sectors, such
as smart cities, smart agriculture, smart healthcare, and smart manufacturing. However, IoT …
as smart cities, smart agriculture, smart healthcare, and smart manufacturing. However, IoT …
A critical review on intrusion detection systems in IoT based on ML approach: A Survey
Internet of Things (IoT) is extensively applied in a number of domains such as environmental
monitoring, industrial processes, home automation, healthcare etc. due to numerous …
monitoring, industrial processes, home automation, healthcare etc. due to numerous …
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …
avenues have emerged. However, the existing industrial architectures are still inefficient to …
Customised intrusion detection for an industrial IoT heterogeneous network based on machine learning algorithms called FTL-CID
N Abosata, S Al-Rubaye, G Inalhan - Sensors, 2022 - mdpi.com
Technological breakthroughs in the Internet of Things (IoT) easily promote smart lives for
humans by connecting everything through the Internet. The de facto standardised IoT routing …
humans by connecting everything through the Internet. The de facto standardised IoT routing …
Machine learning based intrusion detection systems for IoT applications
Abstract Internet of Things (IoT) and its applications are the most popular research areas at
present. The characteristics of IoT on one side make it easily applicable to real-life …
present. The characteristics of IoT on one side make it easily applicable to real-life …