Abstract
The Internet of Things (IoT) emerged as a paradigm in which smart things collaborate among them and with other physical and virtual objects using the Internet in order to perform high level tasks. These things appear in a variety of application domains, including smart grid, health care and smart spaces where several parties share data in order to tackle specific tasks. Data in such domains are rich in sensitive data and data owner-specific habits. Thus, IoT raises concerns about privacy and data protection. This paper reports on a systematic literature review of privacy preserving solutions used in Cooperative Information Systems (CIS) in the IoT field. To do so, and after retrieving scientific productions on the subject, we classify the results according to several facets. In this paper, we consider a subset of them: (i) data life cycle, (ii) privacy preserving techniques and (iii) ISO privacy principles. We combine the facets then express and analyze the results as bubble charts. We analyze the proposed solutions in terms of the techniques they deployed and the privacy principles they covered according to the ISO standard and the data privacy laws and regulations of the European Commission on the Protection of Personal Data. Finally, we identifies recommendations to involve privacy principle coverage and security requirement fulfillment in the IoT applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Onename. https://www.onename.com/
Sap. https://www.sap.com/product/analytics/smart-meter-analytics.html
Storj. www.storj.io
Loi 78–17 du 6 janvier 1978 modifiee (1978). https://www.cnil.fr/fr/loi-78-17-du-6-janvier-1978-modifiee
Regulation (eu) 2016/679 of the european parliament and of the council (2016). http://eur-lex.europa.eu/eli/reg/2016/679/oj
Bertino, E.: Data security and privacy: concepts, approaches, and research directions. In: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), vol. 1, pp. 400–407. IEEE (2016)
Birman, K., Jelasity, M., Kleinberg, R., Tremel, E.: Building a secure and privacy-preserving smart grid. ACM SIGOPS Oper. Syst. Rev. 49(1), 131–136 (2015)
Delmolino, K., Arnett, M., Kosba, A., Miller, A., Shi, E.: Step by step towards creating a safe smart contract: lessons and insights from a cryptocurrency lab. In: Clark, J., Meiklejohn, S., Ryan, P.Y.A., Wallach, D., Brenner, M., Rohloff, K. (eds.) FC 2016. LNCS, vol. 9604, pp. 79–94. Springer, Heidelberg (2016). doi:10.1007/978-3-662-53357-4_6
Elkhodr, M., Shahrestani, S., Cheung, H.: A semantic obfuscation technique for the internet of things. In: 2014 IEEE International Conference on Communications Workshops (ICC), pp. 448–453. IEEE (2014)
Fang, W., Wen, X.Z., Zheng, Y., Zhou, M.: A survey of big data security and privacy preserving. IETE Tech. Rev. 34, 1–17 (2016)
Fernández-Alemán, J.L., Señor, I.C., Lozoya, P.Á.O., Toval, A.: Security and privacy in electronic health records: a systematic literature review. J. Biomed. Inform. 46(3), 541–562 (2013)
Gartner: Internet of things (2017). http://www.gartner.com/it-glossary/internet-of-things
Guillemin, P., Friess, P., et al.: Internet of things strategic research roadmap. Technical report, The Cluster of European Research Projects (2009)
International Organization for Standardization: Information technology security techniques privacy framework, ISO/IEC 29100 (2011)
Li, N., Li, T., Venkatasubramanian, S.: t-closeness: privacy beyond k-anonymity and l-diversity. In: 2007 IEEE 23rd International Conference on Data Engineering, pp. 106–115. IEEE (2007)
Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: l-diversity: privacy beyond k-anonymity. ACM Tran. Knowl. Disc. Data (TKDD) 1(1), 3 (2007)
Mivule, K.: Utilizing noise addition for data privacy, an overview. arXiv preprint arXiv:1309.3958 (2013)
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008)
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)
Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic mapping studies in software engineering. EASE 8, 68–77 (2008)
Roman, R., Zhou, J., Lopez, J.: On the features and challenges of security and privacy in distributed internet of things. Comput. Netw. 57(10), 2266–2279 (2013). Towards a Science of Cyber Security: Security and Identity Architecture for the Future Internet
Sharma, M., Chaudhary, A., Mathuria, M., Chaudhary, S.: A review study on the privacy preserving data mining techniques and approaches. Int. J. Comput. Sci. Telecommun. 4(9), 42–46 (2013)
Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(05), 557–570 (2002)
Ukil, A., Bandyopadhyay, S., Pal, A.: Privacy for IoT: involuntary privacy enablement for smart energy systems. In: 2015 IEEE International Conference on Communications (ICC), pp. 536–541. IEEE (2015)
Westin, A.F.: Privacy and freedom. Wash. Lee Law Rev. 25(1), 166 (1968)
Ziegeldorf, J.H., Morchon, O.G., Wehrle, K.: Privacy in the internet of things: threats and challenges. Secur. Commun. Netw. 7(12), 2728–2742 (2014)
Zyskind, G., Nathan, O., et al.: Decentralizing privacy: using blockchain to protect personal data. In: 2015 IEEE Security and Privacy Workshops (SPW), pp. 180–184. IEEE (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Loukil, F., Ghedira-Guegan, C., Benharkat, A.N., Boukadi, K., Maamar, Z. (2017). Privacy-Aware in the IoT Applications: A Systematic Literature Review. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10573. Springer, Cham. https://doi.org/10.1007/978-3-319-69462-7_35
Download citation
DOI: https://doi.org/10.1007/978-3-319-69462-7_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-69461-0
Online ISBN: 978-3-319-69462-7
eBook Packages: Computer ScienceComputer Science (R0)