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Locaccino: a privacy-centric location sharing application

Published: 26 September 2010 Publication History

Abstract

Locaccino is a location sharing application designed to empower users to effectively control their privacy. It has been piloted by close to 2000 users and has been used by researchers as an experimental platform for conducting research on location-based social networks. Featured technologies include expressive privacy rule creation, detailed feedback mechanisms that help users understand their privacy, algorithms for analyzing privacy preferences, and clients for mobile computers and smartphone devices. In addition, variations of Locaccino are also being piloted as part of research on user-controllable policy learning, learning usable privacy personas and reconciling expressiveness and user burden. The purpose of this demo is to introduce participants to the features of Locaccino, so that they can try out the Locaccino smartphone and laptop applications on their own devices, locate their friends and colleagues, and set rich privacy policies for sharing their location.

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  • (2020)Mobile User Location Inference Attacks Fusing with Multiple Background Knowledge in Location-Based Social NetworksMathematics10.3390/math80202628:2(262)Online publication date: 17-Feb-2020
  • (2019)AncileProceedings of the 18th ACM Workshop on Privacy in the Electronic Society10.1145/3338498.3358642(111-124)Online publication date: 11-Nov-2019
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Published In

cover image ACM Conferences
UbiComp '10 Adjunct: Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
September 2010
203 pages
ISBN:9781450302838
DOI:10.1145/1864431

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  • University of Florida: University of Florida

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

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Author Tags

  1. location sharing technology
  2. mobile social technology
  3. privacy

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  • Demonstration

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Ubicomp '10
Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing
September 26 - 29, 2010
Copenhagen, Denmark

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2021)LYLO – Exploring Disclosed Configurations for Inter-Personal Location SharingExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451652(1-6)Online publication date: 8-May-2021
  • (2020)Mobile User Location Inference Attacks Fusing with Multiple Background Knowledge in Location-Based Social NetworksMathematics10.3390/math80202628:2(262)Online publication date: 17-Feb-2020
  • (2019)AncileProceedings of the 18th ACM Workshop on Privacy in the Electronic Society10.1145/3338498.3358642(111-124)Online publication date: 11-Nov-2019
  • (2019)Is Privacy Controllable?Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data10.1007/978-3-030-16744-8_15(222-238)Online publication date: 16-Apr-2019
  • (2018)Paco: A System-Level Abstraction for On-Loading Contextual Data to Mobile DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2018.279560417:9(2127-2140)Online publication date: 1-Sep-2018
  • (2018)Location Privacy and Utility in Geo-social Networks: Survey and Research Challenges2018 16th Annual Conference on Privacy, Security and Trust (PST)10.1109/PST.2018.8514193(1-10)Online publication date: Aug-2018
  • (2018)Privacy Protection in Location-Based Services: A SurveyHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_4(73-96)Online publication date: 27-Oct-2018
  • (2017)Situation-based privacy autonomous management for mobile social networksComputer Communications10.1016/j.comcom.2017.04.003107:C(75-92)Online publication date: 15-Jul-2017
  • (2016)A machine-learning based approach to privacy-aware information-sharing in mobile social networksPervasive and Mobile Computing10.1016/j.pmcj.2015.01.00625(125-142)Online publication date: Jan-2016
  • (2016)Personalization of Privacy in Mobile Social NetworksEnterprise Information Systems10.1007/978-3-319-29133-8_27(555-573)Online publication date: 3-Feb-2016
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