{"title":"An ontology for threat modeling and simulation of Small Unmanned Aerial Vehicles","authors":"Bharvi Chhaya, Shafagh Jafer, Paolo Proietti","doi":"10.46354/i3m.2019.dhss.004","DOIUrl":null,"url":null,"abstract":"Low, Slow and Small Unmanned Aerial Vehicles (LSS UAVs) are one of the fastest-growing threats for national defense, security and privacy. A NATO task group performed a study to identify the elements necessary to define LSS models applicable for the development of necessary countermeasure to potential threats in the future. The goal of this project is to utilize this data collected by the NMSG-154 study to generate a Web Ontology Language (OWL) ontology for LSS threat modeling. The LSS ontology will form the basis for a metamodel for a domain-specific language (DSL) based on the parameters identified. This DSL will eventually be used to generate specific simulation scenarios to model potential threats caused by small drones.","PeriodicalId":177524,"journal":{"name":"Proceedings of THE 9TH INTERNATIONAL DEFENCE AND HOMELAND SECURITY SIMULATION WORKSHOP, DHSS 2019","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of THE 9TH INTERNATIONAL DEFENCE AND HOMELAND SECURITY SIMULATION WORKSHOP, DHSS 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46354/i3m.2019.dhss.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Low, Slow and Small Unmanned Aerial Vehicles (LSS UAVs) are one of the fastest-growing threats for national defense, security and privacy. A NATO task group performed a study to identify the elements necessary to define LSS models applicable for the development of necessary countermeasure to potential threats in the future. The goal of this project is to utilize this data collected by the NMSG-154 study to generate a Web Ontology Language (OWL) ontology for LSS threat modeling. The LSS ontology will form the basis for a metamodel for a domain-specific language (DSL) based on the parameters identified. This DSL will eventually be used to generate specific simulation scenarios to model potential threats caused by small drones.