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Charith, Perera; Wakenshaw, Susan Y.L.; Baarslag, Tim; Haddadi, Hamed; Bandara, Arosha; Mortier, Richard; Crabtree, Andy; Ng, Irene C.; McAuley, Derek; Crowcroft, Jon (2017)
Publisher: Wiley
Languages: English
Types: Article
Subjects: Computer Science - Computers and Society, Computer Science - Networking and Internet Architecture
Identifiers:doi:10.1002/ett.3125
The Internet of Things is expected to generate large amounts of heterogeneous data from diverse sources including physical sensors, user devices and social media platforms. Over the last few years, significant attention has been focused on personal data, particularly data generated by smart wearable and smart home devices. Making personal data available for access and trade is expected to become a part of the data-driven digital economy. In this position paper, we review the research challenges in building personal Databoxes that hold personal data and enable data access by other parties and potentially thus sharing of data with other parties. These Databoxes are expected to become a core part of future data marketplaces. Copyright © 2016 The Authors Transactions on Emerging Telecommunications Technologies Published by John Wiley & Sons, Ltd.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Perera C, Liu CH, Jayawardena S, Chen M. A survey on internet of things from industrial market perspective. IEEE Access 2014; 2: 1660-1679.
    • 2. Perera C, Ranjan R, Wang L, Khan SU, Zomaya AY. Big data privacy in the internet of things era. IT Professional 2015; 17(3): 32-39.
    • 3. Mortier R, Lodge T, Bhandari N, et al. Demo: dataware, a personal data architecture. In The Fourth Digital Economy All-Hands Meeting: Open Digital (DE), Salford, Manchester, UK, 2013.
    • 4. HAT Project Research Team. HAT Briefing Paper 2: The Hub-of-all-Things (HAT) economic model of the multisided market platform and ecosystem. WMG Service Systems Research Group Working Paper Series (Number 02/15), 2015. http://wrap.warwick.ac.uk/65607/.
    • 5. RCUK Digital Economy HAT Project. Engineering a market for personal data: the hub-of-all-things (HAT) a briefing paper, RCUK Digital Economy, 2014.
    • 6. Chaudhry A, Crowcroft J, Howard H, et al. Personal data: thinking inside the box. In 5th Decennial Aarhus Conferences (Aarhus 2015 Critical Alternatives), Aarhus, Denmark, 2015.
    • 7. Chen H, Jin Q. Ubiquitous personal study: a framework for supporting information access and sharing. Personal and Ubiquitous Computing 2009; 13(7): 539-548, http:// dx.doi.org/10.1007/s00779-009-0221-z [online].
    • 8. Mun M, Hao S, Mishra N, et al. Personal data vaults: a locus of control for personal data streams. In Proceedings of the 6th International Conference, New York, NY, USA, 2010, ACM; 17:1-17:12, http://doi.acm.org/ 10.1145/1921168.1921191 [online].
    • 9. Perera C, Zaslavsky A, Christen P, Georgakopoulos D. Sensing as a service model for smart cities supported by internet of things. Transactions on Emerging Telecommunications Technologies 2014; 25(1): 81-93.
    • 10. Google Inc. Introducing google opinion rewards, 2016. http://www.google.com/insights/consumersurveys/ google_opinion_rewards [Accessed on: 28-02-2016].
    • 11. Datacoup. Unlock the value of your personal data, introducing the world's first personal data marketplace, 2016. https://datacoup.com/ [Accessed on:05-03-2016].
    • 12. Bates J. Thingalytics-Smart Big Data Analytics for the Internet of Things. Software AG: Darmstadt, Germany, 2015.
    • 13. Kamleitner B, Dickert S, Falahrastegar M, Haddadi H. Information bazaar: a contextual evaluation. In Proceedings of the 5th ACM Workshop on Hotplanet, New York, NY, USA, 2013, ACM; 57-62, http://doi.acm.org/10. 1145/2491159.2491161 [online].
    • 14. Carrascal JP, Riederer C, Erramilli V, Cherubini M, deOliveira R. Your browsing behavior for a big mac: economics of personal information online. In Proceedings of the 22nd International Conference on World Wide Web, New York, NY, USA, 2013, ACM; 189-200, http://doi. acm.org/10.1145/2488388.2488406 [online].
    • 15. Bourgeois J, vander Linden J, Kortuem G, Price BA, Rimmer C. Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, New York, NY, USA, 2014; 459-470, http:// doi.acm.org/10.1145/2632048.2632106 [online].
    • 16. Najjar MS, Kettinger WJ. Data monetization: lessons from a retailer's journey. MIS Quarterly Executive 2013; 12(4): 213-225.
    • 17. Prakash SD. Big data led big monetization. Vidwat 2014; 7(1): 6-7.
    • 18. Bulger M, Taylor G, Schroeder R. Data-driven business models: challenges and opportunities of big data, Oxford Internet Institute, 2014.
    • 19. Aperjis C, Huberman BA. A market for unbiased private data: paying individuals according to their privacy attitudes, Social Computing Group, HP Labs, 2012. http://arxiv.org/pdf/1205.0030v1.pdf [Accessed on: 06- 10-2016].
    • 20. Katz ML, Shapiro C. Network externalities, competition, and compatibility. The American Economic Review 1985; 75: 424-440.
    • 21. Parker GG, VanAlstyne MW. Two-sided network effects: a theory of information product design. Management Science 2005-10; 51(10): 1494-1504, http://dx.doi. org/10.1287/mnsc.1050.0400 [online].
    • 22. Hagiu A. Multi-sided platforms: from microfoundations to design and expansion strategies, Harvard Business School Strategy Unit, 2007.
    • 23. Boudreau KJ, Hagiu A. Platform rules: multisided platforms as regulators, Cheltenham, 2009. http://EconPapers.repec.org/RePEc:elg:eechap:13257_7 [online].
    • 24. Hagiu A, Wright J. Marketplace or reseller? Management Science 2015; 61(1): 184-203, http://dx.doi.org/10. 1287/mnsc.2014.2042 [online].
    • 25. Crabtree A, Mortier R. Human data interaction: historical lessons from social studies and CSCW. In ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Norway. Springer International Publishing: Cham, 2015; 3-21. http://dx.doi.org/10.1007/ 978-3-319-20499-4_1 [online].
    • 26. Perera C, Liu CH, Jayawardena S. The emerging internet of things marketplace from an industrial perspective: a survey. IEEE Transactions on Emerging Topics in Computing 2015; 3(4): 585-598.
    • 27. Westin A. Privacy and Freedom. Atheneum: New York, 1967.
    • 28. Palen L, Dourish P. Unpacking “privacy” for a networked world. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, 2003, ACM; 129-136, http://doi.acm. org/10.1145/642611.642635 [online].
    • 29. Li H, Sarathy R, Xu H. Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems 2010; 51 (1): 62-71, http://www.tandfonline.com/doi/abs/10. 1080/08874417.2010.11645450 [online].
    • 30. Price BA, Mancini C, Rogers Y, et al. Contravision: presenting contrasting visions of future technology. In CHI '10 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 2010, ACM; 4759-4764.
    • 31. Baarslag T, Alan AT, Gomer RC, et al. Negotiation as an interaction mechanism for deciding app permissions. In ACM SIGCHI Conference Extended Abstract on Human Factors in Computing Systems, New York, NY, USA, 2016; 2012-2019.
    • 32. Ricci F, Rokach L, Shapira B, Kantor PB. Recommender Systems Handbook (1st). Springer-Verlag New York, Inc.: New York, NY, USA, 2010.
    • 33. Solove DJ. A taxonomy of privacy. University of Pennsylvania Law Review 2006January; 154(3): 477-560.
    • 34. Perera C, Ranjan R, Wang L. End-to-end privacy for open big data markets. IEEE Cloud Computing 2015; 2 (4): 44-53.
    • 35. Yang M, Yu Y, Bandara AK, Nuseibeh B. Adaptive sharing for online social networks: a trade-off between privacy risk and social benefit. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, Beijing, 2014; 45-52.
    • 36. Mortier R, Haddadi H, Henderson T, McAuley D, Crowcroft J. Human-data interaction: the human face of the data-driven society. Social Science Research Network 2014.
    • 37. Koll D, Li J, Fu X. Soup: an online social network by the people, for the people. In Proceedings of the 15th International Middleware Conference, New York, NY, USA, 2014, ACM; 193-204, http://doi.acm.org/10.1145/ 2663165.2663324 [online].
    • 38. Karkkaainen T, Ott J. Liberouter: towards autonomous neighborhood networking. In 2014 11th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), Obergurgl, 2014; 162-169.
    • 39. Gawer A, Cusumano M. Introduction: platform leadership and complementary innovation. In Platform Leadership: How Intel, Microsoft, and Cisco Drive Industry Innovation. Harvard Business School Press: Boston, Mass, 2002.
    • 40. Iansiti M, Levien R. The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Harvard Business School Press: Boston, 2004.
    • 41. Perera C, Zaslavsky A. Improve the sustainability of internet of things through trading-based value creation. In 2014 IEEE World Forum on Internet of Things (WFIoT), Seoul, 2014; 135-140.
    • 42. intelsecurity.com. Intel security's international internet of things smart home survey shows many respondents sharing personal data for money, 2016. https:// newsroom.intel.com/news-releases/intel-securitysinternational-internet-of-things-smart-home-survey/ [Accessed on: 11-05-2016].
    • 43. altimetergroup.com. Consumer perceptions of privacy in the internet of things: what brands can learn from a concerned citizenry, Altimeter Group, 2015.
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