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2020 | OriginalPaper | Buchkapitel

A Survey-Based Exploration of Users’ Awareness and Their Willingness to Protect Their Data with Smart Objects

verfasst von : Chathurangi Ishara Wickramasinghe, Delphine Reinhardt

Erschienen in: Privacy and Identity Management. Data for Better Living: AI and Privacy

Verlag: Springer International Publishing

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Abstract

In the last years, the Internet of Things (IoT) and smart objects have become more and more popular in our everyday lives. While IoT contributes in making our everyday life more comfortable and easier, it also increases the threats to our privacy, as embedded sensors collect data about us and our environment. To foster the acceptance of IoT, privacy-preserving solutions are therefore necessary. While such solutions have already been proposed, most of them do not involve the users in their design. In this paper, we therefore adopt a user-centric approach and lay the ground for the future design of user-centric privacy-preserving solutions dedicated to smart home environments. To this end, we have designed and distributed a questionnaire fulfilled by 229 anonymous participants. Our objectives are two-fold: We aim at investigating (1) requirements for end user-involved privacy-preserving solutions and (2) users’ readiness to be involved in their own privacy protection. Our results show that the majority of our participants are aware of the data collection happening as well as the associated privacy risks and would be ready to control and audit the collected data.

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Privacy paradox explains the discrepancy between the users’ stated preferences with regard to privacy protection and their actual behavior.

At the beginning of the survey, we informed the participants that both data collection and processing take place anonymously. Note that the survey was carried out at the University of Bonn, which did not have an ethical board for reviewing user studies in our field at the time of the study. We have, however, limited the data collection to the minimum and conducted it anonymously. The participants were informed that they could opt out at any time and that their data would be removed. After agreeing to participate, each participant has been assigned a pseudonym and asked to answer a questionnaire to gather his/her demographics.

A score of 1 corresponds to a strong disagreement, while a score of 5 to a strong agreement.

Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). OJ L119/1, pp. 1–88 (2016)

Alcaide, A., Palomar, E., Montero-Castillo, J., Ribagorda, A.: Anonymous authentication for privacy-preserving iot target-triven applications. Comput. Secur. 37, 111–123 (2013)CrossRef

Apthorpe, N., Shvartzshnaider, Y., Mathur, A., Reisman, D., Feamster, N.: Discovering smart home Internet of Things privacy norms using contextual integrity. Proc. ACM Interact. Mob. Wearable Ubiquit. Technol. 2(2), 1–23 (2018). Article 59CrossRef

Barhamgi, M., et al.: Enabling end-users to protect their privacy. In: Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security, pp. 905–907 (2017)

Cao, H., Liu, S., Guan, Z., Wu, L., Deng, H., Du, X.: An efficient privacy-preserving algorithm based on randomized response in IoT-based smart grid. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, pp. 881–886 (2018)

Cao, J., Carminati, B., Ferrari, E., Tan, K.L.: CASTLE: continuously anonymizing data streams. IEEE Trans. Depend. Secur. Comput. 8(3), 337–352 (2010)

Carretero, J., García, J.D.: The Internet of Things: connecting the world. Pers. Ubiquit. Comp. 18(2), 445–447 (2014)CrossRef

Chakravorty, A., Wlodarczyk, T., Rong, C.: Privacy preserving data analytics for smart homes. In: 2013 IEEE Security and Privacy Workshops, pp. 23–27 (2013)

Chan, E.M., Lam, P.E., Mitchell, J.C.: Understanding the challenges with medical data segmentation for privacy. In: Usenix Conference on Safety, Security, Privacy and Interoperability of Health Information Technologies, pp. 1–10 (2013)

10.

Coopamootoo, K., Gross, T.: Why privacy is all but forgotten. Proc. Priv. Enhanc. Technol. 4, 97–118 (2017)CrossRef

11.

Day, M., Turner, G., Drozdiak, N.: Amazon workers are listening to what you tell Alexa. https://www.bloomberg.com/news/articles/2019-04-10/is-anyone-listening-to-you-on-alexa-a-global-team-reviews-audio

12.

Friedewald, M., Da Costa, O., Punie, Y., Alahuhta, P., Heinonen, S.: Perspectives of ambient intelligence in home environment. Telemat. Inform. 22, 221–238 (2005)CrossRef

13.

Guo, L., et al.: A secure mechanism for big data collection in large scale internet of vehicle. IEEE Internet Things J. 4(2), 601–610 (2017)CrossRef

14.

Huang, X., Craig, P., Lin, H., Yan, Z.: SecIoT: a security framework for the Internet of Things. Secur. Commun. Netw. 9(16), 3083–3094 (2016)CrossRef

15.

Huang, X., Fu, R., Chen, B., Zhang, T., Roscoe, A.: User interactive Internet of Things privacy preserved access control. In: 2012 International Conference for Internet Technology And Secured Transactions, pp. 597–602 (2012)

16.

Hussain, S.H., Geetha, S., Prabhakar, M.A.: Design and implementation of an adaptive model for sustainable home automation using Internet of Things (IoT). Int. J. Adv. Eng. Tech. VII(1), 827–829 (2016)

17.

Jia, Y.J., et al.: ContexloT: towards providing contextual integrity to appified IoT platforms. In: Network and Distributed System Security Symposium (NDSS), pp. 1–15 (2017)

18.

Karaboga, M., et al.: Das versteckte Internet: Zu Hause - im Auto - am Körper. White paper, Forum Privatheit und selbstbestimmtes Leben in der digitalen Welt (2015)

19.

Khan, M.S.N., Marchal, S., Buchegger, S., Asokan, N.: chownIoT: enhancing IoT privacy by automated handling of ownership change. In: Kosta, E., Pierson, J., Slamanig, D., Fischer-Hübner, S., Krenn, S. (eds.) Privacy and Identity 2018. IAICT, vol. 547, pp. 205–221. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-16744-8_14CrossRef

20.

Kokolakis, S.: Privacy attitudes and privacy behaviour: a review of current research on the privacy paradox phenomenon. Comput. Secur. 64, 122–134 (2017)CrossRef

21.

Lee, H., Kobsa, A.: Understanding user privacy in Internet of Things environments. In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 407–412 (2016)

22.

Li, X., Niu, J., Bhuiyan, M.Z.A., Wu, F., Karuppiah, M., Kumari, S.: A robust ECC-based provable secure authentication protocol with privacy preserving for industrial Internet of Things. IEEE Trans. Ind. Inform. 14(8), 3599–3609 (2017)CrossRef

23.

Martin, K., Nissenbaum, H.: Measuring privacy: an empirical test using context to expose confounding variables. Columbia Sci. Technol. Law Rev. 18, 176–218 (2016)

24.

McReynolds, E., Hubbard, S., Lau, T., Saraf, A., Cakmak, M., Roesner, F.: Toys that listen: a study of parents, children, and internet-connected toys. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 5197–5207 (2017)

25.

Naeini, P.E., et al.: Privacy expectations and preferences in an IoT world. In: Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), pp. 399–412 (2017)

26.

Ouaddah, A., Abou Elkalam, A., Ait Ouahman, A.: FairAccess: a new blockchain-based access control framework for the Internet of Things. Secur. Commun. Netw. 9(18), 5943–5964 (2016)CrossRef

27.

Pasquale, F.: The Black Box Society: the Secret Algorithms that Control Money and Information. Harvard University Press, Cambridge (2015)CrossRef

28.

Perera, C., McCormick, C., Bandara, A.K., Price, B.A., Nuseibeh, B.: Privacy-by-design framework for assessing Internet of Things applications and platforms. In: Proceedings of the 6th International Conference on the Internet of Things (ACM), pp. 83–92 (2016)

29.

Su, J., Cao, D., Zhao, B., Wang, X., You, I.: ePASS: an expressive attribute-based signature scheme with privacy and an unforgeability guarantee for the Internet of Things. Future Gener. Comp. Sys. 33, 11–18 (2014)CrossRef

30.

Udoh, E.S., Alkharashi, A.: Privacy risk awareness and the behavior of smartwatch users: a case study of Indiana University Students. In: 2016 Future Technologies Conference (FTC), pp. 926–931 (2016)

31.

Wang, X., Zhang, J., Schooler, E.M., Ion, M.: Performance evaluation of attribute-based encryption: toward data privacy in the IoT. In: 2014 IEEE International Conference on Communications (ICC), pp. 725–730 (2014)

32.

Yang, J.C., Fang, B.X.: Security model and key technologies for the Internet of Things. J. China Univ. Posts Telecommun. 18, 109–112 (2011)CrossRef

33.

Yang, L., Humayed, A., Li, F.: A multi-cloud based privacy-preserving data publishing scheme for the Internet of Things. In: Proceedings of the 32nd Annual Conference on Computer Security Applications (ACM), pp. 30–39 (2016)

34.

Yang, W., Li, N., Qi, Y., Qardaji, W., McLaughlin, S., McDaniel, P.: Minimizing private data disclosures in the smart grid. In: Proceedings of the 2012 ACM Conference on Computer and Communications Security, pp. 415–427 (2012)

35.

Yu, T., Sekar, V., Seshan, S., Agarwal, Y., Xu, C.: Handling a trillion (unfixable) flaws on a billion devices: rethinking network security for the Internet-of-Things. In: Proceedings of the 14th ACM Workshop on Hot Topics in Networks. Article no. 5 (2015)

36.

Zeng, E., Mare, S., Roesner, F.: End user security and privacy concerns with smart homes. In: Proceedings of the Thirteenth USENIX Conference on Usable Privacy and Security (SOUPS 2017), pp. 65–80 (2017)

37.

Zheng, S., Apthorpe, N., Chetty, M., Feamster, N.: User perceptions of smart home IoT privacy. In: Proceedings of the ACM on Human-Computer Interaction, vol. 2, Article no. (CSCW 200), pp. 1–20 (2018)CrossRef

38.

Zhou, W., Jia, Y., Peng, A., Zhang, Y., Liu, P.: The effect of IoT new features on security and privacy: new threats, existing solutions, and challenges yet to be solved. IEEE Internet Things J. 6(2), 1606–1616 (2019)CrossRef

Titel: A Survey-Based Exploration of Users’ Awareness and Their Willingness to Protect Their Data with Smart Objects
verfasst von: Chathurangi Ishara Wickramasinghe
Delphine Reinhardt
Verlag: Springer International Publishing
Buch: Privacy and Identity Management. Data for Better Living: AI and Privacy
Print ISBN: 978-3-030-42503-6

Electronic ISBN: 978-3-030-42504-3

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-42504-3_27

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