Probabilitics data model based on privacy tipping points

M. V. Rallapalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many companies routinely alter privacy policies without taking any web user inputs into consideration. In 2012, Facebook decided to approve changes to its data use policy and statement of rights and responsibilities without any user input. This resulted in a huge backlash in the social media against Facebook policies by web users and privacy advocates. Web users and privacy advocates have taken matters into their own hands, posting enough comments on the note in the Social media, forcing Facebook to put them to a vote. What this shows is user community collectively can allow or disallow privacy changes made by the big social media companies. This paper addresses a probabilistic data model that captures the privacy thresholds to give a better understanding of acceptable privacy changes to a published privacy agreement. The computations are based on Random Walk theory formulae applied to privacy data sets collected in a real life survey.

Original languageEnglish (US)
Title of host publicationEnvironmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014
EditorsKennis Chan
PublisherCRC Press/Balkema
Pages373-376
Number of pages4
ISBN (Print)9781138028074
StatePublished - Jan 1 2015
EventInternational Conference on Environmental Engineering and Computer Application, ICEECA 2014 - Kowloon, Hong Kong
Duration: Dec 25 2014Dec 26 2014

Publication series

NameEnvironmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014

Conference

ConferenceInternational Conference on Environmental Engineering and Computer Application, ICEECA 2014
CountryHong Kong
CityKowloon
Period12/25/1412/26/14

Keywords

  • Big data
  • Framework
  • Framework approach
  • Privacy
  • Privacy negotiation
  • Tipping points

ASJC Scopus subject areas

  • Environmental Engineering

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  • Cite this

    Rallapalli, M. V. (2015). Probabilitics data model based on privacy tipping points. In K. Chan (Ed.), Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014 (pp. 373-376). (Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014). CRC Press/Balkema.