Smart farm security by combining IoT sensor network and virtualized mycelium network

Sirimorok, Nurdiansyah and Paweroi, Rio Mukhtarom and Arsyad, Andi Arniaty and Koppen, Mario (2023) Smart farm security by combining IoT sensor network and virtualized mycelium network. Sensors, 23 (21). p. 8689. ISSN 1424-8220

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Official URL: https://www.mdpi.com/1424-8220/23/21/8689

Abstract

In today’s world, merging sensor-based security systems with contemporary principles has become crucial. As we witness the ever-growing number of interconnected devices in the Internet of Things (IoT), it is imperative to have robust and trustworthy security measures in place. In this paper, we examine the idea of virtualizing the communication infrastructure for smart farming in the context of IoT. Our approach utilizes a metaverse-based framework that mimics natural processes such as mycelium network growth communication with a security-concept-based srtificial immune system (AIS) and transaction models of a multi-agent system (MAS). The mycelium, a bridge that transfers nutrients from one plant to another, is an underground network (IoT below ground) that can interconnect multiple plants. Our objective is to study and simulate the mycelium’s behavior, which serves as an underground IoT, and we anticipate that the simulation results, supported by diverse aspects, can be a reference for future IoT network development. A proof of concept is presented, demonstrating the capabilities of such a virtualized network for dedicated sensor communication and easy reconfiguration for various needs.

Item Type: Article
Uncontrolled Keywords: Smart farming; Internet-of-Things; Mycelium; Metaverse; Multi-agent system; Sensor network; Artificial immune system
Subjects: 000 Computer science, information & general works > 000 Computer Science, Information, General Works > 004 Data Processing, Computer Science
000 Computer science, information & general works > 000 Computer Science, Information, General Works > 006 Special Computer Methods
600 Applied sciences & technology > 630 Agriculture
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Informatika
Depositing User: Ms Novi Tasari
Date Deposited: 31 Jul 2026 08:22
Last Modified: 01 Aug 2026 13:46
URI: http://eprints.uai.ac.id/id/eprint/2635

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