Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System

Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System

Recently, with the massive growth of IoT devices, the attack surfaces have also intensified. Thus, cybersecurity has become a critical component to protect organizational boundaries. In networks, Intrusion Detection Systems (IDSs) are employed to raise critical flags during network management. One a...

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Bibliographic Details
Main Authors: Azriel Henry, Sunil Gautam, Samrat Khanna, Khaled Rabie, Thokozani Shongwe, Pronaya Bhattacharya, Bhisham Sharma, Subrata Chowdhury
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
convolution neural network
IDS
deep learning
anomaly detection
Online Access:https://www.mdpi.com/1424-8220/23/2/890

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