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Vulnerability Assessment in the Smart Farming Infrastructure through Cyberattacks

Linsner, Sebastian ; Varma, Rashmi ; Reuter, Christian (2023)
Vulnerability Assessment in the Smart Farming Infrastructure through Cyberattacks.
39. GIL-Jahrestagung. Wien, Austria (18.-19. Februar 2019)
doi: 10.26083/tuprints-00022200
Conference or Workshop Item, Secondary publication, Publisher's Version

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Abstract

The Internet of Things (IoT) has a significant impact on agriculture. So-called Smart Farming uses drones and a variety of sensors to measure climate, irrigation, soil moisture or GPS position. With this rapid influx of technology increases the threat that vulnerabilities in those technologies are being exploited for malicious intent. To show the impact of cyberattacks on agriculture, we present a simulation of several attacks on a ZigBee-based wireless sensor network. We conduct a delay attack, an interference attack and three different routing attacks (sinkhole, blackhole and selective forwarding attack). Those attacks are simulated using NETA with the OMNET++ framework. We will show that the security of WSN is influenced by factors like energy consumption or computation power, which can conflict with other interests like low per-unit costs.

Item Type: Conference or Workshop Item
Erschienen: 2023
Creators: Linsner, Sebastian ; Varma, Rashmi ; Reuter, Christian
Type of entry: Secondary publication
Title: Vulnerability Assessment in the Smart Farming Infrastructure through Cyberattacks
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2019
Publisher: Gesellschaft für Informatik e.V.
Book Title: Informatik in der Land-, Forst- und Ernährungswirtschaft : Digitalisierung für landwirtschaftliche Betriebe in kleinstrukturierten Regionen - ein Widerspruch in sich?
Event Title: 39. GIL-Jahrestagung
Event Location: Wien, Austria
Event Dates: 18.-19. Februar 2019
DOI: 10.26083/tuprints-00022200
URL / URN: https://tuprints.ulb.tu-darmstadt.de/22200
Corresponding Links:
Origin: Secondary publication service
Abstract:

The Internet of Things (IoT) has a significant impact on agriculture. So-called Smart Farming uses drones and a variety of sensors to measure climate, irrigation, soil moisture or GPS position. With this rapid influx of technology increases the threat that vulnerabilities in those technologies are being exploited for malicious intent. To show the impact of cyberattacks on agriculture, we present a simulation of several attacks on a ZigBee-based wireless sensor network. We conduct a delay attack, an interference attack and three different routing attacks (sinkhole, blackhole and selective forwarding attack). Those attacks are simulated using NETA with the OMNET++ framework. We will show that the security of WSN is influenced by factors like energy consumption or computation power, which can conflict with other interests like low per-unit costs.

Uncontrolled Keywords: Smart Farming; Precision Agriculture; Vulnerability Assessment; Internet of Things; Wireless Sensor Network
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-222006
Classification DDC: 000 Generalities, computers, information > 004 Computer science
600 Technology, medicine, applied sciences > 630 Agriculture, veterinary medicine
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Zentrale Einrichtungen
Zentrale Einrichtungen > Interdisziplinäre Arbeitsgruppe Naturwissenschaft, Technik und Sicherheit (IANUS)
Date Deposited: 13 Feb 2023 11:10
Last Modified: 16 Feb 2023 10:05
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