Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System

Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System

Developing cyber security is very necessary and has attracted considerable attention from academy and industry organizations worldwide. It is also very necessary to provide sustainable computing for the the Internet of Things (IoT). Machine learning techniques play a vital role in the cybersecurity...

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Bibliographic Details
Main Authors: Abdulaziz Fatani, Abdelghani Dahou, Mohammed A. A. Al-qaness, Songfeng Lu, Mohamed Abd Elaziz
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
feature selection
cybersecurity
sustainable computing
intrusion detection system
Aquila optimizer
swarm Intelligence
Online Access:https://www.mdpi.com/1424-8220/22/1/140

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