Classifier Performance Evaluation for Lightweight IDS Using Fog Computing in IoT Security

Classifier Performance Evaluation for Lightweight IDS Using Fog Computing in IoT Security

In this article, a Host-Based Intrusion Detection System (HIDS) using a Modified Vector Space Representation (MVSR) N-gram and Multilayer Perceptron (MLP) model for securing the Internet of Things (IoT), based on lightweight techniques and using Fog Computing devices, is proposed. The Australian Def...

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Bibliographic Details
Main Authors: Belal Sudqi Khater, Ainuddin Wahid Abdul Wahab, Mohd Yamani Idna Idris, Mohammed Abdulla Hussain, Ashraf Ahmed Ibrahim, Mohammad Arif Amin, Hisham A. Shehadeh
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
IoT security
Fog Computing
intrusion detection
N-gram
multilayer perceptron
Online Access:https://www.mdpi.com/2079-9292/10/14/1633

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https://www.mdpi.com/2079-9292/10/14/1633

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