JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Vol. 8 No. 1 (2023)

INTRUSION DETECTION SYSTEM FOR ZIGBEE-BASED IOT USING DATA ANALYSIS RULES

Fal Sadikin (Universitas Amikom Yogyakarta)
Nuruddin Wiranda (Universitas Lambung Mangkurat)

Article Info

Publish Date
30 Apr 2023

Abstract

The market for Internet of Things (IoT) products and services has grown rapidly. It has been predicted that the deployment of these IoT applications will grow exponentially in the near future. However, the rapid growth of IoT brings new security risks and potentially opens new types of attacks for systems and networks. This article outlines various techniques for detecting known attacks in ZigBee-based IoT systems. We introduced an Detection System (IDS) specific for ZigBee using data analytics method, that are used to provide an accurate detection method for known attacks. This article looks at our IDS implementation covering a wide variety of detection techniques to detect known attacks ZigBee IoT systems.

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Journal Info
JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Website

Abbrev

jtiulm

Publisher

Universitas Lambung Mangkurat

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) is intended as a media for scientific studies on the results of research, thinking and analytical-critical studies regarding research in Systems Engineering, Informatics / Information Technology, Information Management and Information ...