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Advanced detection Denial of Service attack in the Internet of Things network based on MQTT protocol using fuzzy logic

Register: Jurnal Ilmiah Teknologi Sistem Informasi

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Title Advanced detection Denial of Service attack in the Internet of Things network based on MQTT protocol using fuzzy logic
 
Creator Budiana, Mochamad Soebagja
Negara, Ridha Muldina
Irawan, Arif Indra
Larasati, Harashta Tatimma
 
Subject denial of service; fuzzy-logic; IoT; message queuing telemetry transport; MQTT
 
Description Message Queuing Telemetry Transport (MQTT) is one of the popular protocols used on the Internet of Things (IoT) networks because of its lightweight nature. With the increasing number of devices connected to the internet, the number of cybercrimes on IoT networks will increase. One of the most popular attacks is the Denial of Service (DoS) attack. Standard security on MQTT uses SSL/TLS, but SSL/TLS is computationally wasteful for low-powered devices. The use of fuzzy logic algorithms with the Intrusion Detection System (IDS) scheme is suitable for detecting DoS because of its simple nature. This paper uses a fuzzy logic algorithm embedded in a node to detect DoS in the MQTT protocol with feature selection nodes. This paper's contribution is that the nodes feature selection used will monitor SUBSCRIBE and SUBACK traffic and provide this information to fuzzy input nodes to detect DoS attacks. Fuzzy performance evaluation is measured against changes in the number of nodes and attack intervals. The results obtained are that the more the number of nodes and the higher the traffic intensity, the fuzzy performance will decrease, and vice versa. However, the number of nodes and traffic intensity will affect fuzzy performance.
 
Publisher Information Systems - Universitas Pesantren Tinggi Darul Ulum
 
Contributor —
 
Date 2021-04-19
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/register/article/view/2340
10.26594/register.v7i2.2340
 
Source Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 7, No 2 (2021): July; 95-106
Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 7, No 2 (2021): July; 95-106
2502-3357
2503-0477
10.26594/register.v7i2
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/register/article/view/2340/pdf
https://journal.unipdu.ac.id/index.php/register/article/downloadSuppFile/2340/323
https://journal.unipdu.ac.id/index.php/register/article/downloadSuppFile/2340/324
https://journal.unipdu.ac.id/index.php/register/article/downloadSuppFile/2340/335
 
Rights Copyright (c) 2021 Mochamad Soebagja Budiana, Ridha Muldina Negara, Arif Indra Irawan, Harashta Tatimma Larasati
http://creativecommons.org/licenses/by-nc-sa/4.0