Abstract
The Internet of Things (IoT) contains devices to collect and transmit information that should not be captured by third parties. Although devices have internet connectivity, some devices have battery limited energy. Therefore, it is important the conducting of evaluations to investigate, compare and propose security mechanisms with energy-efficient. However, there is a very low number of research using practical evaluations with real devices, as measurement approach takes a long time to perform the experiments. Therefore, the aim of this paper is to analyze, categorize analytically and statistically the methodologies which have been presented in the area of IoT based on the Systematic Literature Review (SLR) method, in order to extract features of the research protocols (definition of a set of equipment, topology, traffic, parameters, metrics and other variables) to be used in new research that addresses the concepts of security, energy and IoT. The weaknesses and highlighting of each study is discussed as well as presenting some hints for addressing future research with lower execution times of experiments, as it will be possible to reuse the results of measurements already published for the same parameter and metrics.
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References
Lazarescu, M.T.: Wireless sensor networks for the Internet of Things: barriers and synergies, pp. 155–186. Springer, Cham (2017)
Elshrkawey, M., Elsherif, S.M., Wahed, M.E.: An enhancement approach for reducing the energy consumption in wireless sensor networks. J. King Saud Univ. Comput. Inf. Sci. 30(2), 259–267 (2018). https://doi.org/10.1016/j.jksuci.2017.04.002
Menezes, A.H.S., Kelvin, R.M.d.O., Oliveira, L.P., Oliveira, P.J.d.S.: IoT environment to train service dogs. In: 2017 IEEE First Summer School on Smart Cities (S3C), pp. 137–140, August 2017. https://doi.org/10.1109/S3C.2017.8501386
Sittón-Candanedo, I., Alonso, R.S., Corchado, J.M., Rodríguez-González, S., Casado-Vara, R.: A review of edge computing reference architectures and a new global edge proposal. Future Gener. Comput. Syst. 99, 278–294 (2019). https://doi.org/10.1016/j.future.2019.04.016
Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: a survey. Comput. Netw. 54(15), 2688–2710 (2010). https://doi.org/10.1016/j.comnet.2010.05.003
Saleem, Y., Crespi, N., Rehmani, M.H., Copeland, R.: Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access 7, 62962–63003 (2019). https://doi.org/10.1109/ACCESS.2019.2913984
Dhasian, H.R., Balasubramanian, P.: Survey of data aggregation techniques using soft computing in wireless sensor networks. IET Inf. Secur. 7(4), 336–342 (2013). https://doi.org/10.1049/iet-ifs.2012.0292
Sun, Q., Li, H., Ma, Z., Wang, C., Campillo, J., Zhang, Q., Wallin, F., Guo, J.: A comprehensive review of smart energy meters in intelligent energy networks. IEEE Internet Things J. 3(4), 464–479 (2016). https://doi.org/10.1109/JIOT.2015.2512325
Sookhak, M., Tang, H., He, Y., Yu, F.R.: Security and privacy of smart cities: a survey, research issues and challenges. IEEE Commun. Surv. Tutor. 21, 1718–1743 (2019). https://doi.org/10.1109/COMST.2018.2867288
Kantharaju, H.C., Murthy, K.N.N.: A survey on enhancing system performance of wireless sensor network by secure assemblage based data delivery. In: 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), pp. 289–296, March 2017. https://doi.org/10.1109/ICRAECT.2017.55
Karakaya, A., Akleylek, S.: A survey on security threats and authentication approaches in wireless sensor networks. In: 2018 6th International Symposium on Digital Forensic and Security (ISDFS), pp. 1–4, March 2018. https://doi.org/10.1109/ISDFS.2018.8355381
Ravindran, V., Subramanian, S.: Systematic reviews and meta-analysis demystified. Indian J. Rheumatol. 10 (2015). https://doi.org/10.1016/j.injr.2015.04.003
Fabbri, S., Silva, C., Hernandes, E., Octaviano, F., Di Thommazo, A., Belgamo, A.: Improvements in the start tool to better support the systematic review process. In: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, EASE 2016, pp. 21:1–21:5. ACM, New York (2016). https://doi.org/10.1145/2915970.2916013
Campelo, F., Takahashi, F.: Sample size estimation for power and accuracy in the experimental comparison of algorithms. J. Heuristics 25(2), 305–338 (2019). https://doi.org/10.1007/s10732-018-9396-7
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Oliveira, L.P., Vieira, M.N., Leite, G.B., de Almeida, E.L.V. (2020). Evaluating Energy Efficiency and Security for Internet of Things: A Systematic Review. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_20
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