Cybersecurity Risk Assessment for Beninese Power Grid SCADA system

dc.contributor.authorAHOUANDJINOU, SÈMÈVO ARNAUD ROLAND MARTIAL
dc.contributor.authorDegila, Jules
dc.contributor.authorHOUNGUE, Pélagie
dc.contributor.authorkpoze, aurelie
dc.date.accessioned2026-06-02T16:06:57Z
dc.date.available2026-06-02T16:06:57Z
dc.date.issued2023
dc.description.abstractThe advent of Smart system and Internet of Things spurred a new direction of research in agricultural application field using Wireless Sensor Networks (WSNs). In recent times, WSNs are widely applied in various agricultural applications such as data collection with a set of sensors (e.g.: temperature, humidity, brightness, sunshine, odors, etc.). In this paper, we designed a smart Wireless network of agro-climatic data collection using mobile Sink embedded on drone based on a modified RPL-version. First of all, we propose a set of sensors which are calibrated and deployed in the targeted sensing field. Then, we use a modified RPL-version protocol to manage sink node mobility with respect to different network metrics such as latency, packet delivery ratio (PDR) and energy consumption. Extensive simulation using Instant Contiki simulator (Cooja) shows significant performance differences between RPL protocols …
dc.identifier.doi10.1109/ICoCICs58778.2023.10277307
dc.identifier.otherBECDB-13344
dc.identifier.urihttps://dspace.uac.bj/handle/123456789/11449
dc.language.isofr
dc.relation.ispartofIEEE International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs)
dc.subjectSensors
dc.subjectWireless sensor networks
dc.subjectIntelligent sensors
dc.subjectAgriculture
dc.subjectMonitoring
dc.subjectDrones
dc.subjectSensor phenomena and characterization
dc.titleCybersecurity Risk Assessment for Beninese Power Grid SCADA system
dc.typeArticle

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