Improving Cellular IoT Security with Identity Federation and Anomaly Detection
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Original versionSantos B, Dzogovic BD, Feng B, Jacot N, Do TV, Do VTDO: Improving Cellular IoT Security with Identity Federation and Anomaly Detection. In: INIVE CAI. 2020 5th International Conference onComputer and Communication Systems, 2020. IEEE conference proceedings p. 776-780 http://dx.doi.org/10.1109/ICCCS49078.2020.9118438
As we notice the increasing adoption of Cellular IoT solutions (smart-home, e-health, among others), there are still some security aspects that can be improved as these devices can suffer various types of attacks that can have a high-impact over our daily lives. In order to avoid this, we present a multi-front security solution that consists on a federated cross-layered authentication mechanism, as well as a machine learning platform with anomaly detection techniques for data traffic analysis as a way to study devices’ behavior so it can preemptively detect attacks and minimize their impact. In this paper, we also present a proof-of-concept to illustrate the proposed solution and showcase its feasibility, as well as the discussion of future iterations that will occur for this work.