Amr Alanwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul D. Martin, P. Tabuada, Mani Srivastava
{"title":"摘要:PrOLoc:使用部分同态加密的私有观察者弹性定位","authors":"Amr Alanwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul D. Martin, P. Tabuada, Mani Srivastava","doi":"10.1145/3055031.3055033","DOIUrl":null,"url":null,"abstract":"This demo abstract presents PrOLoc, a localization system thatcombines partially homomorphic encryption with a new way ofstructuring the localization problem to enable efficient and accurate computation of a target’s location while preserving the privacy of the observers.","PeriodicalId":228318,"journal":{"name":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Demo Abstract: PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption\",\"authors\":\"Amr Alanwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul D. Martin, P. Tabuada, Mani Srivastava\",\"doi\":\"10.1145/3055031.3055033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demo abstract presents PrOLoc, a localization system thatcombines partially homomorphic encryption with a new way ofstructuring the localization problem to enable efficient and accurate computation of a target’s location while preserving the privacy of the observers.\",\"PeriodicalId\":228318,\"journal\":{\"name\":\"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3055031.3055033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo Abstract: PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption
This demo abstract presents PrOLoc, a localization system thatcombines partially homomorphic encryption with a new way ofstructuring the localization problem to enable efficient and accurate computation of a target’s location while preserving the privacy of the observers.