H2O: Secure Interactions in IoT via Behavioral Fingerprinting

Marco Ferretti, Serena Nicolazzo and Antonino Nocera
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Marco Ferretti: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia PV, Italy
Serena Nicolazzo: Daisy Laboratory, Polytechnic University of Marche, 60131 Ancona AN, Italy
Antonino Nocera: Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia PV, Italy

Future Internet, 2021, vol. 13, issue 5, 1-29

Abstract: Sharing data and services in the Internet of Things (IoT) can give rise to significant security concerns with information being sensitive and vulnerable to attacks. In such an environment, objects can be either public resources or owned by humans. For this reason, the need of monitoring the reliability of all involved actors, both persons and smart objects, assuring that they really are who they claim to be, is becoming an essential property of the IoT, with the increase in the pervasive adoption of such a paradigm. In this paper, we tackle this problem by proposing a new framework, called H2O (Human to Object). Our solution is able to continuously authenticate an entity in the network, providing a reliability assessment mechanism based on behavioral fingerprinting. A detailed security analysis evaluates the robustness of the proposed protocol; furthermore, a performance analysis shows the feasibility of our approach.

Keywords: IoT; Human to Object Network; behavioral fingerprint; reliability (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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