H2O: Secure Interactions in IoT via Behavioral Fingerprinting

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 reliabil...

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Main Authors: Marco Ferretti, Serena Nicolazzo, Antonino Nocera
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/13/5/117
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author Marco Ferretti
Serena Nicolazzo
Antonino Nocera
author_facet Marco Ferretti
Serena Nicolazzo
Antonino Nocera
author_sort Marco Ferretti
collection DOAJ
description 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.
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spelling doaj.art-4fba13e1473f4504931c3e3dc32cef632023-11-21T17:59:10ZengMDPI AGFuture Internet1999-59032021-04-0113511710.3390/fi13050117H2O: Secure Interactions in IoT via Behavioral FingerprintingMarco Ferretti0Serena Nicolazzo1Antonino Nocera2Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia PV, ItalyDaisy Laboratory, Polytechnic University of Marche, 60131 Ancona AN, ItalyDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia PV, ItalySharing 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.https://www.mdpi.com/1999-5903/13/5/117IoTHuman to Object Networkbehavioral fingerprintreliability
spellingShingle Marco Ferretti
Serena Nicolazzo
Antonino Nocera
H2O: Secure Interactions in IoT via Behavioral Fingerprinting
Future Internet
IoT
Human to Object Network
behavioral fingerprint
reliability
title H2O: Secure Interactions in IoT via Behavioral Fingerprinting
title_full H2O: Secure Interactions in IoT via Behavioral Fingerprinting
title_fullStr H2O: Secure Interactions in IoT via Behavioral Fingerprinting
title_full_unstemmed H2O: Secure Interactions in IoT via Behavioral Fingerprinting
title_short H2O: Secure Interactions in IoT via Behavioral Fingerprinting
title_sort h2o secure interactions in iot via behavioral fingerprinting
topic IoT
Human to Object Network
behavioral fingerprint
reliability
url https://www.mdpi.com/1999-5903/13/5/117
work_keys_str_mv AT marcoferretti h2osecureinteractionsiniotviabehavioralfingerprinting
AT serenanicolazzo h2osecureinteractionsiniotviabehavioralfingerprinting
AT antoninonocera h2osecureinteractionsiniotviabehavioralfingerprinting