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A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT

Authors :
Noshina Tariq
M. Zubair Farooqi
Muhammad Asim
Thar Baker
Noura Faci
Zakaria Maamar
SZABIST Islamabad
Zayed University
Aalto University School of Science and Technology [Aalto, Finland]
Service Oriented Computing (SOC)
Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS)
Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-École Centrale de Lyon (ECL)
Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Université Lumière - Lyon 2 (UL2)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon
American University of Sharjah
Source :
Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2019, 134, pp.198-206. ⟨10.1016/j.jpdc.2019.08.013⟩
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wireless Sensor Nodes ( SN s) that can be subject to attacks like any other piece of hardware and software. Unfortunately, an open and challenging issue is to what extent legitimate SN s can be trusted. This paper presents an energy-efficient, software-defined-network-based Mobile Code-driven Trust Mechanism ( MCTM ) for addressing this issue by assessing trust of SN s based on their forwarding behaviors. MCTM uses mobile code to visit the SN s based on pre-defined itineraries while collecting necessary details about these SN s in preparation for assessing their trust. The results gained from the experiments demonstrate a superior performance over a state-of-art technique that is energy-efficient management based on Software-Defined Network ( SDN ) for SN s. Message overhead is reduced by approximately 50%, which results in consuming less energy when detecting malicious SN s.

Details

ISSN :
07437315 and 10960848
Volume :
134
Database :
OpenAIRE
Journal :
Journal of Parallel and Distributed Computing
Accession number :
edsair.doi.dedup.....41bac6d80c802c3eca3e2313360f7e15
Full Text :
https://doi.org/10.1016/j.jpdc.2019.08.013