Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features

The application of a large number of Internet of Things (IoT) devices makes our life more convenient and industries more efficient. However, it also makes cyber-attacks much easier to occur because so many IoT devices are deployed and most of them do not have enough resources (i.e., computation and...

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Bibliographic Details
Main Authors: Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, Rudy Hartanto, Kouichi Sakurai
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Electronics
Subjects:
iot
ddos attack
feature selection
ids
machine learning
raspberry pi
Online Access:https://www.mdpi.com/2079-9292/9/1/144

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