{"title":"Privacy Preserving Market Schemes for Mobile Sensing","authors":"Yuan Zhang, Yunlong Mao, He Zhang, Sheng Zhong","doi":"10.1109/ICPP.2015.100","DOIUrl":null,"url":null,"abstract":"To put mobile sensing into large-scale deployments, we have to take care of sensing participants' incentives and privacy first. In this paper, we study how to protect the sensing participants' privacy in the mobile sensing market where multiple sensing jobs reside in one consolidated place. Our problem is highly challenging due to the facts that incentives are introduced and we consider both the sensing job owner and the market administrator could invade the sensing participants' privacy. We propose two privacy-preserving market mechanisms that are able to protect the sensing participants' privacy to solve our problem. Experiments also demonstrate that our mechanisms have good efficiency.","PeriodicalId":423007,"journal":{"name":"2015 44th International Conference on Parallel Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 44th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2015.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
To put mobile sensing into large-scale deployments, we have to take care of sensing participants' incentives and privacy first. In this paper, we study how to protect the sensing participants' privacy in the mobile sensing market where multiple sensing jobs reside in one consolidated place. Our problem is highly challenging due to the facts that incentives are introduced and we consider both the sensing job owner and the market administrator could invade the sensing participants' privacy. We propose two privacy-preserving market mechanisms that are able to protect the sensing participants' privacy to solve our problem. Experiments also demonstrate that our mechanisms have good efficiency.