Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing最新文献

Secure Auctions without an Auctioneer via Verifiable Secret Sharing 安全拍卖没有拍卖商通过可验证的秘密共享

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/2757302.2757305

Maya Larson, Chun-qiang Hu, Ruinian Li, Wei Li, Xiuzhen Cheng

{"title":"Secure Auctions without an Auctioneer via Verifiable Secret Sharing","authors":"Maya Larson, Chun-qiang Hu, Ruinian Li, Wei Li, Xiuzhen Cheng","doi":"10.1145/2757302.2757305","DOIUrl":"https://doi.org/10.1145/2757302.2757305","url":null,"abstract":"Combinatorial auctions are a research hot spot. They impact people's daily lives in many applications such as spectrum auctions held by the FCC. In such auctions, bidders may want to submit bids for combinations of goods. The challenge is how to protect the privacy of bidding prices and ensure data security in these auctions? To tackle this challenge, we present an approach based on verifiable secret sharing. The approach is to represent the price in the degree of a polynomial; thus the maximum/sum of the degree of two polynomials can be obtained by the degree of the sum/product of the two polynomials based on secret sharing. This protocol hides the information of bidders (bidding price) from the auction servers. The auctioneers can obtain their secret shares from bidders without a secure channel. Since it doesn't need a secure channel, this scheme is more practical and applicable to more scenarios. This scheme provides resistance to collusion attacks, conspiracy attacks, passive attacks and so on. Compared to [11, 12], our proposed scheme provides authentication without increasing the communication cost.","PeriodicalId":120179,"journal":{"name":"Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120972798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Rise of Mini-Drones: Applications and Issues 微型无人机的兴起:应用和问题

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/2757302.2757303

Zhongli Liu, Zupei Li, Benyuan Liu, Xinwen Fu, I. Raptis, K. Ren

引用次数: 37

Privacy Disclosure from Wearable Devices 可穿戴设备的隐私泄露

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/2757302.2757306

Tong Yan, Yachao Lu, Nan Zhang

{"title":"Privacy Disclosure from Wearable Devices","authors":"Tong Yan, Yachao Lu, Nan Zhang","doi":"10.1145/2757302.2757306","DOIUrl":"https://doi.org/10.1145/2757302.2757306","url":null,"abstract":"In recent years, wearable devices have seen an explosive growth of popularity and a rapid enhancement of functionalities. Current off-the-shelf wearable devices offer pack sensors such as pedometer, gyroscope, accelerometer, altimeter, compass, GPS, and heart rate monitor. These sensors work together to quietly monitor various aspects of a user's daily life, enabling a wide spectrum of health- and social-related applications. Nevertheless, the data collected by such sensors, even in their aggregated form, may cause significant privacy concerns if shared with third-party applications and/or a user's social connections (as many wearable platforms now support). This paper studies a novel problem of the potential inference of sensitive user behavior from seemingly insensitive sensor outputs. Specifically, we examine whether it is possible to infer the behavioral sequence of a user such as moving from one place to another, visiting a coffee shop, grocery shopping, etc., based on the outputs of pedometer sensors (aggregated over certain time intervals, e.g., 1 minute). We demonstrate through real-world experiments that it is often possible to infer such behavior with a high success probability, raising privacy concerns on the sharing of such information as currently supported by various wearable devices.","PeriodicalId":120179,"journal":{"name":"Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125216856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing 2015年隐私意识移动计算研讨会论文集

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/2757302

Xinwen Fu, Nan Zhang

引用次数: 0

Blind Recognition of Text Input on Mobile Devices via Natural Language Processing 基于自然语言处理的移动设备文本输入的盲识别

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/2757302.2757304

Qinggang Yue, Z. Ling, Wei Yu, Benyuan Liu, Xinwen Fu

引用次数: 9

Session details: Technical Paper Session 会议详情:技术论文会议

Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing Pub Date : 2015-06-22 DOI: 10.1145/3246892

引用次数: 0