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活动简介

The prevalent usage of Location Based Services (LBS); where getting any informational service is solely based on the user’s current location, have raised an extreme concern over location privacy of the user. Location information is a fundamental section of the smart mobile experience which empowers the popularly used mobile computing applications that can be used for Geosocial networking, route navigation and travel, retail and real estate land searches, and mobile marketing, promotions, and advertising. It is most popularly used for finding friends within the range, discovering the nearest eatery destination or advertising deals to customers in the specified area. All above described features provide a dynamic client experience, presenting a new level of ease that changes the way business organizations interfaces with clients and other enterprises. Search engines may blend location information with searched terms placed or results selected by the user. Navigation tools could deduce driving velocity to inform their traffic opinion estimates. Social networking services may gather and hold location information along with photographs, status updates, reply/comments, friend’s information, likes/dislikes, inclinations, hobbies, gender, sexual orientation, and many more. Although Location Based Services provide major openings for a large variety of markets and remarkable convenience to the end user, it also presents subtle privacy attacks to user’s location information. Threat to the privacy sneaks into the system due to the prerequisite of sending user’s current location to the LBS provider to attain related services. Since the volume of data gathered from dynamic or stationary mobile users using LBS can be high, it is vital to outline the frameworks and systems in a manner that is secure and keep the location information private.

The aim of this workshop is to bring together practitioners and researchers from both academia and industry in order to have a forum for discussion and technical presentations that address various aspects of Privacy in Location-Based Services framework design, implementation, location tagged data publication, location based social networks, vehicular networks, Smart cities and intelligent transport systems, location prediction & privacy applications.

组委会
  • Udai Pratap Rao, S.V. National Institute of Technology, Surat, Gujarat, India
  • Pethuru Raj, Reliance Jio Infocomm. Ltd., Bangalore, India.
征稿信息

重要日期

2018-07-01
初稿截稿日期
2018-09-01
初稿录用日期

Topics of interests include, but are not limited to:

  • Location privacy
  • Privacy in Geo-Social Networks
  • Privacy in Geo-Spatial crowdsourcing applications
  • Privacy in Vehicular Networks
  • Privacy in Outdoor and Indoor positioning
  • Privacy preserving Geo-spatial data publishing
  • Privacy in Location-based games
  • Privacy in location-based recommendations
  • Privacy preservation in Future Smart Cities
  • Privacy in smart healthcare
  • Privacy in Intelligent Transport systems
  • Theoretical and empirical study of location privacy concerns and behavior
  • Differential privacy
  • Novel spatial transformations approaches for location privacy in LBS
  • Novel cryptographic approaches for location privacy in LBS
  • Hybrid privacy preserving Approaches in LBS
  • Trajectory anonymization

作者指南

Authors should prepare a PDF version of their paper formatting according to Springer Word or LaTex template available at: https://www.springer.com/us/authors-editors/book-authors-editors/manuscript-preparation/5636. Short papers should be up to 8 pages maximum including references AND regular papers should be up to 20 pages maximum including references. 

In order to submit your paper, you must first create an EasyChair account if you do not have one already, using https://www.easychair.org/account/signin.cgi The EasyChair system will then email you your password, which you can then use.

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重要日期
  • 会议日期

    02月11日

    2019

    02月13日

    2019

  • 07月01日 2018

    初稿截稿日期

  • 09月01日 2018

    初稿录用通知日期

  • 02月13日 2019

    注册截止日期

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