Linsner, Sebastian ; Varma, Rashmi ; Reuter, Christian (2023)
Vulnerability Assessment in the Smart Farming Infrastructure through Cyberattacks.
39. GIL-Jahrestagung. Wien, Austria (18.02.2019-19.02.2019)
doi: 10.26083/tuprints-00022200
Conference or Workshop Item, Secondary publication, Publisher's Version
Text
GIL_2019_Linsner_119-124.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (1MB) |
Item Type: | Conference or Workshop Item |
---|---|
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: | 18.02.2019-19.02.2019 |
DOI: | 10.26083/tuprints-00022200 |
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 > Science and Technology for Peace and Security (PEASEC) Profile Areas > Cybersecurity (CYSEC) LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy Zentrale Einrichtungen > Interdisziplinäre Arbeitsgruppe Naturwissenschaft, Technik und Sicherheit (IANUS) |
Date Deposited: | 13 Feb 2023 11:10 |
Last Modified: | 16 Aug 2023 09:25 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/22200 |
PPN: | 505708272 |
Export: |
View Item |