A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT

A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT

At present, new data sharing technologies, such as those used in the Internet of Things (IoT) paradigm, are being extensively adopted. For this reason, intelligent security controls have become imperative. According to good practices and security information standards, particularly those regarding s...

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Bibliographic Details
Main Authors: Carlos D. Morales-Molina, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda K. Toscano-Medina, Hector Perez-Meana, Jesus Olivares-Mercado, Jose Portillo-Portillo, Victor Sanchez, Luis Javier Garcia-Villalba
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Clone ID attack
deep learning
Internet of Things
IoT
intrusion detection
IDS
Online Access:https://www.mdpi.com/1424-8220/21/9/3173

Internet

https://www.mdpi.com/1424-8220/21/9/3173

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