Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT) systems are causing a wide range of problems for individuals and organizations. The IoT is self-configuring and open, making it vulnerable to insider and outsider attacks. In the IoT, devices are designed to self-c...

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Bibliographic Details
Main Authors: Esra Altulaihan, Mohammed Amin Almaiah, Ahmed Aljughaiman
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
IoT network
DoS attacks
feature selection
classifier algorithms
machine learning
IDS
Online Access:https://www.mdpi.com/1424-8220/24/2/713

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