A. Cullen, B. Williams, E. Bertino, S. Arunkumar, Erisa Karafili, Emil C. Lupu
{"title":"Mission Support for Drones: a Policy Based Approach","authors":"A. Cullen, B. Williams, E. Bertino, S. Arunkumar, Erisa Karafili, Emil C. Lupu","doi":"10.1145/3086439.3086444","DOIUrl":null,"url":null,"abstract":"We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term \"autonomous\", it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3086439.3086444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term "autonomous", it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.