Preservando a Privacidade na Internet das Coisas com Pseudônimos Usando SDN
Abstract
Internet of Things devices usually capture information about their users, generating several privacy risks. Observers can infer information about their victims from the addresses of IoT devices. In this paper, we present a pseudo-anonymization solution based on Software-Defined Networking that hides IoT addresses. We evaluate this solution with real IoT traffic from a variety of devices. The results show that the proposed solution contributes to improving the privacy of IoT users. Hypothesis tests based on the Wilcoxon Signed-Rank Test attest that the impact on the communication performance generated by the solution is negligible.
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Davoli, L., Protskaya, Y., and Veltri, L. (2017). An anonymization protocol for the internet of things. In 2017 International Symposium on Wireless Communication Systems (ISWCS), pages 459–464.
Haas, Z. J. and Yousefpour, A. (2018). A privacy scheme for monitoring devices in the internet of things. CoRR, abs/1803.04453.
Liu, J., Zhang, C., and Fang, Y. (2018). EPIC: A differential privacy framework to defend smart homes against internet traffic analysis. IEEE Internet of Things Journal, 5(2):1206–1217.
Miettinen, M., Marchal, S., Hafeez, I., Asokan, N., Sadeghi, A. R., and Tarkoma, S. (2017). IoT SENTINEL: Automated device-type identification for security enforcement in iot. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pages 2177–2184.
Sharma, D. P., Kim, D. S., Yoon, S., Lim, H., Cho, J.-H., and Moore, T. J. (2018). Frvm: Flexible random virtual ip multiplexing in software-defined networks. In International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom), New York, NY, USA. IEEE.
Sivanathan, A., Sherratt, D., Gharakheili, H. H., Radford, A., Wijenayake, C., Vishwanath, A., and Sivaraman, V. (2017). Characterizing and classifying iot traffic in smart cities and campuses. In 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 559–564.
Turner, A. (2011). Tcpreplay. [link].
Ullah, I., Shah, M. A., Wahid, A., Mehmood, A., and Song, H. (2018). ESOT: a new privacy model for preserving location privacy in internet of things. Telecommunication Systems, 67(4):553–575.
Wagner, I. and Eckhoff, D. (2018). Technical privacy metrics: A systematic survey. ACM Comput. Surv., 51(3):57:1–57:38.
Zeitz, K., Cantrell, M., Marchany, R., and Tront, J. (2018). Changing the game: A micro moving target IPv6 defense for the internet of things. IEEE Wireless Communications Letters, pages 1–1.
Zhu, T., Feng, D., Wang, F., Hua, Y., Shi, Q., Liu, J., Cheng, Y., and Wan, Y. (2017). Efficient anonymous communication in SDN-Based data center networks. IEEE/ACM Transactions on Networking, 25(6):3767–3780.
Published
2018-10-25
How to Cite
PINHEIRO, Antonio J.; BURGARDT, Caio A. P.; CAMPELO, Divanilson R..
Preservando a Privacidade na Internet das Coisas com Pseudônimos Usando SDN. In: BRAZILIAN SYMPOSIUM ON CYBERSECURITY (SBSEG), 18. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
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p. 457-464.
DOI: https://doi.org/10.5753/sbseg.2018.4278.
