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The Privacy Paradox of Utilizing the Internet of Things and Wi-Fi Tracking in Smart Cities

  • Krystan ten BergEmail author
  • Ton A. M. Spil
  • Robin Effing
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 558)

Abstract

In recent years, we have seen the increase of Internet of Things (IoT) solutions, products and services. The Internet of Things will capture a large amount of data pertaining from the environment, as well as their users. The real value of collecting data will be the result of data processing and aggregation in a large-scale where new knowledge can be extracted. However, such procedures can also lead to user privacy issues. This study describes what citizens do and do not know about Wi-Fi tracking and how that knowledge affects their responses to privacy and security risks. The results of this study showed that there is a lack of awareness towards Wi-Fi tracking by people in the municipality studied. The results show that most respondents are willing to cooperate with Wi-Fi tracking, despite the fact that most people have concerns of losing control about how their data is gathered and used. This study also found that respondents indicated Wi-Fi tracking as useful and especially safety is appointed as an important benefit of Wi-Fi tracking. The results of this study confirm that privacy, trust and perceived benefits significantly influence the willingness to disclose personal information.

Keywords

Internet of Things Privacy Adoption of IT 

References

  1. Acquisti, A., Grossklags, J.: Privacy and rationality in individual decision making. IEEE Secur. Priv. 3(1), 26–33 (2005).  https://doi.org/10.1109/MSP.2005.22CrossRefGoogle Scholar
  2. Al-Dhubhani, R., Mehmood, R., Katib, I., Algarni, A.: Location privacy in smart cities era. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds.) SCITA 2017. LNICST, vol. 224, pp. 123–138. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-94180-6_14CrossRefGoogle Scholar
  3. Anderson, C.L., Agarwal, R.: The digitization of healthcare: boundary risks, emotion, and consumer willingness to disclose personal health information. Inform. Syst. Res. 22(3), 469–490 (2011)CrossRefGoogle Scholar
  4. Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRefGoogle Scholar
  5. Bailey, M.W.: Seduction by technology: Why consumers opt out of privacy by buying into the Internet of Things. Tex. L. Rev. 94, 1023 (2015)Google Scholar
  6. Acquisti, A., John, L.K., Loewenstein, G.: What is privacy worth? J. Legal Stud. 42(2), 249–274 (2013)CrossRefGoogle Scholar
  7. Bansal, G., Gefen, D.: The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online. Decision Support Systems 49(2), 138–150 (2010)CrossRefGoogle Scholar
  8. Bartoli, A., Hernández-Serrano, J., Soriano, M., Dohler, M., Kountouris, A., Barthel, D.: Security and privacy in your smart city. In: Proceedings of the Barcelona Smart Cities Congress, vol. 292, December 2011Google Scholar
  9. Barkhuus, L., Dey, A.K.: Location-Basedservices for mobile telephony: astudy of users’privacy concerns. In: INTERACT. Citeseer, vol. 3, pp. 702–712 (2003)Google Scholar
  10. Barth, S., de Jong, M.: The privacy paradox–investigating discrepancies between expressed privacy concerns and actual online behavior–a systematic literature review. Telematics and Informatics (2017)Google Scholar
  11. Bélanger, F., Crossler, R.E.: Privacy in the digital age: a review of information privacy research in information systems. MIS Q. 35(4), 1017–1042 (2011)CrossRefGoogle Scholar
  12. Beinat, E.: Privacy and location-based services. Geo Informatics September. Belissent, J. Getting Clever About Smart Cities: New Opportunities Require New Business Models, Forrester Research, (2010)Google Scholar
  13. Bosch, B.F.E., van Eijk, N.A.N.M.: Wifi-tracking in de winkel (straat): inbreuk op de privacy? Privacy Informatie 19(251), 238–246 (2016)Google Scholar
  14. Chorppath, A.K., Alpcan, T.: Trading privacy with incentives in mobile commerce: a game theoretic approach. Pervasive Mob. Comput. 4, 598–612 (2013)CrossRefGoogle Scholar
  15. Clarke, R.: Person location and person tracking: technologies, risks and policy implications. Inform. Technol. People 14(2), 206–231 (2001)CrossRefGoogle Scholar
  16. Culnan, M.J., Armstrong, P.K.: Information privacy concerns, procedural fairness, and impersonal trust: an empirical investigation. Organ. Sci. 10(1), 104–115 (1999)CrossRefGoogle Scholar
  17. Demir, L., Cunche, M., Lauradoux, C.: Analysing the privacy policies of Wi-Fi trackers. In: Proceedings of the 2014 Workshop on Physical Analytics, pp. 39–44. ACM, June 2014Google Scholar
  18. Demir, L.: Wi-Fi tracking: what about privacy (Doctoral dissertation, M2 SCCI Security, Cryptologyand Coding of Information-UFR IMAG) (2013)Google Scholar
  19. Derikx, S., de Reuver, M., Kroesen, M., Bouwman, H.: Buying-off privacy concerns for mobility services in the Internet-of-things era. In: Proceedings of the 28th Bled eConference (2015)Google Scholar
  20. Dinev, T., Hart, P.: An extended privacy calculus model for e-commerce transactions. Inform. Syst. Res. 17(1), 61–80 (2006)CrossRefGoogle Scholar
  21. Elwood, S., Leszczynski, A.: Privacy reconsidered: New representations, data practices, and the geoweb. Geoforum 42, 6–15 (2011)CrossRefGoogle Scholar
  22. Finch, K., Tene, O.: Welcome to the metropticon: protecting privacy in a hyperconnected town. Fordham Urb. LJ 41, 1581 (2013)Google Scholar
  23. Finn, R.L., Wright, D., Friedewald, M.: Seven types of privacy. In: Gutwirth, S., Leenes, R., de Hert, P., Poullet, Y. (eds.) European data Protection: Coming of Age, pp. 3–32. Springer, Dordrecht (2013).  https://doi.org/10.1007/978-94-007-5170-5_1Google Scholar
  24. Fogel, J., Nehmad, E.: Internet social network communities: risk taking, trust, and privacy concerns. Comput. Hum. Behav. 25(1), 153–160 (2009)CrossRefGoogle Scholar
  25. Gutierrez, A., O’Leary, S., Rana, N.P., Dwivedi, Y.K., Calle, T.: Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: identifying intrusiveness as the critical risk factor. Comput. Hum. Behav. 95, 295–306 (2019)CrossRefGoogle Scholar
  26. Hall, R.E., Bowerman, B., Braverman, J., Taylor, J., Todosow, H., Von Wimmersperg, U.: The vision of a smart city (No. BNL–67902; 04042). Brookhaven National Lab., Upton, NY (US) (2000)Google Scholar
  27. Hann, I.H., Hui, K.L., Lee, S.Y.T., Png, I.P.: Overcoming online information privacy concerns: an information-processing theory approach. J. Manage. Inform. Syst. 24(2), 13–42 (2007)CrossRefGoogle Scholar
  28. van Heek, J., Arning, K., Ziefle, M.: Safety and privacy perceptions in public spaces: an empirical study on user requirements for city mobility. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds.) IoT360 2014. LNICST, vol. 151, pp. 97–103. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-19743-2_15CrossRefGoogle Scholar
  29. Heek, J., Arning, K., Ziefle, M.: Where, Wherefore, and How? - contrasting two surveillance contexts according to acceptance. In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017), pp. 87–98 (2017)Google Scholar
  30. Hernández-Muñoz, J.M., Vercher, J.B., Muñoz, L., Galache, José A., Presser, M., Hernández Gómez, Luis A., Pettersson, J.: Smart cities at the forefront of the future internet. In: Domingue, J., et al. (eds.) FIA 2011. LNCS, vol. 6656, pp. 447–462. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-20898-0_32CrossRefGoogle Scholar
  31. Hollands, R.G.: Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City 12(3), 303–320 (2008)CrossRefGoogle Scholar
  32. Hossain, M.A., Dwivedi, Y.K., Rana, N.P.: State-of-the-art in open data research: insights from existing literature and a research Agenda. J. Organ. Comput. Electron. Commer. 26(1–2), 14–40 (2016)CrossRefGoogle Scholar
  33. Ismagilova, E., Hughes, L., Dwivedi, Y.K., Raman, K.R.: Smart cities: Advances in research—an information systems perspective. Int. J. Inf. Manage. 47, 88–100 (2019)CrossRefGoogle Scholar
  34. Könings, B., Schaub, F., Weber, M.: Privacy and trust in ambient intelligent environments. In: Ultes, S., Nothdurft, F., Heinroth, T., Minker, W. (eds.) Next Generation Intelligent Environments, pp. 133–164. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-23452-6_4CrossRefGoogle Scholar
  35. Krasnova, H., Veltri, N.F., Günther, O.: Self-disclosure and privacy calculus on social networking sites: the role of culture. Bus. Inform. Syst. Eng. 4(3), 127–135 (2012)CrossRefGoogle Scholar
  36. Krumm, J.: A survey of computational location privacy. Pers. Ubiquit. Comput. 13(6), 391–399 (2009)CrossRefGoogle Scholar
  37. Lee, H., Kobsa, A.: Understanding user privacy in internet of things environments. Paper presented at the 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016, pp. 407–412 (2017).  https://doi.org/10.1109/wf-iot.2016.7845392
  38. Lee, J., Rao, H.R.: Perceived risks, counter-beliefs, and intentions to use anti-/counter-terrorism websites: an exploratory study of government–citizens online interactions in a turbulent environment. Decis. Support Syst. 43(4), 1431–1449 (2007)CrossRefGoogle Scholar
  39. Liu, Z., Shan, J., Bonazzi, R., Pigneur, Y.: Privacy as a tradeoff: introducing the notion of privacy calculus for context-aware mobile applications. In: 2014 47th Hawaii International Conference on System Sciences (HICSS), pp. 1063–1072. IEEE, January 2014Google Scholar
  40. Longo, S., Cheng, B.: Privacy preserving crowd estimation for safer cities. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pp. 1543–1550. ACM, September 2015Google Scholar
  41. Lopez, J., Rios, R., Bao, F., Wang, G.: Evolving privacy: from sensors to the Internet of Things. Future Gener. Comput. Syst. 75, 46–57 (2017)CrossRefGoogle Scholar
  42. Malhotra, N.K., Kim, S.S., Agarwal, J.: Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Inform. Syst. Res. 15(4), 336–355 (2004)CrossRefGoogle Scholar
  43. Michael, K., Clarke, R.: Location and tracking of mobile devices: Überveillance stalks the streets. Comput. Law Secur. Rev. 29(3), 216–228 (2013)CrossRefGoogle Scholar
  44. Minch, R.P.: Location privacy in the Era of the Internet of Things and Big Data analytics. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 1521–1530. IEEE, January 2015Google Scholar
  45. Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of things: vision, applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)CrossRefGoogle Scholar
  46. Mulligan, C., Olsson, M.: Architectural implications of smart city business models: an evolutionary perspective. IEEE Commun. Mag. 51(6), 80–85 (2013)CrossRefGoogle Scholar
  47. Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, pp. 282–291. ACM, June 2011Google Scholar
  48. Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerging Telecommun. Technol. 25(1), 81–93 (2014)CrossRefGoogle Scholar
  49. Rana, N.P., Luthra, S., Mangla, S.K., Islam, R., Roderick, S., Dwivedi, Y.K.: Barriers to the development of smart cities in Indian context. Inform. Syst. Front., 1–23 (2018)Google Scholar
  50. Smith, H.J., Milberg, S.J., Burke, S.J.: Information privacy: measuring individuals’ concerns about organizational practices. MIS Q. 20, 167–196 (1996)CrossRefGoogle Scholar
  51. Steinfield, C.: The development of location based services in mobile commerce. In: E-Life after the dot com bust, pp. 177–197. Physica-Verlag HD (2004)Google Scholar
  52. Stewart, K.A., Segars, A.H.: An empirical examination of the concern for information privacy instrument. Inform. Syst. Res. 13(1), 36–49 (2002)CrossRefGoogle Scholar
  53. Van Slyke, C., Shim, J.T., Johnson, R., Jiang, J.J.: Concern for information privacy and online consumer purchasing. J. Assoc. Inform. Syst. 7(6), 16 (2006)Google Scholar
  54. Vasalou, A., Joinson, A., Houghton, D.: Privacy as a fuzzy concept: a new conceptualization of privacy for practitioners. J. Assoc. Inform. Sci. Technol. 66(5), 918–929 (2015)CrossRefGoogle Scholar
  55. Weinberg, B.D., Milne, G.R., Andonova, Y.G., Hajjat, F.M.: Internet of Things: convenience vs. privacy and secrecy. Bus. Horiz. 58(6), 615–624 (2015)CrossRefGoogle Scholar
  56. Westin, A.F., Ruebhausen, O.M.: Privacy and Freedom, vol. 1. Atheneum, New York (1967)Google Scholar
  57. Wilson, D., Valacich, J.: Unpacking the Privacy Paradox: Irrational Decision-Making within the Privacy Calculus. In: ICIS 2012 Proceedings (2012). http://aisel.aisnet.org/icis2012/proceedings/ResearchInProgress/101
  58. Wirz, M., Roggen, D., Troster, G.: User acceptance study of a mobile system for assistance during emergency situations at large-scale events. In: 2010 3rd International Conference on Human-Centric Computing, pp. 1–6. IEEE, August 2010Google Scholar
  59. Xu, H., Teo, H.H., Tan, B.C., Agarwal, R.: The role of push-pull technology in privacy calculus: the case of location-based services. J. Manage. Inform. Syst. 26(3), 135–174 (2009)CrossRefGoogle Scholar
  60. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of Things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014)CrossRefGoogle Scholar
  61. van Zoonen, L.: Privacy concerns in smart cities. Gov. Inform. Q. 33(3), 472–480 (2016)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Krystan ten Berg
    • 1
    Email author
  • Ton A. M. Spil
    • 1
  • Robin Effing
    • 1
  1. 1.University of TwenteEnschedeThe Netherlands

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