University of Limerick
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Sensor network environments: A review of the attacks and trust management models for securing them

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journal contribution
posted on 2023-03-10, 14:45 authored by Kealan MannixKealan Mannix, Aengus Gorey, Donna O'Shea, THOMAS NEWETHOMAS NEWE

Over the past decade, new technologies have driven the rise of what is being termed as the fourth industrial revolution. The introduction of this new revolution is amalgamating the cyber and physical worlds, bringing with it many benefits, such as the advent of industry 4.0, the internet of things, cloud technologies and smart homes and cities. These new and exciting areas are poised to have significant advantages for society; they can increase the efficiency of many systems and increase the quality of life of people. However, these emerging technologies can potentially have downsides, if used incorrectly or maliciously by bad entities. The rise of the widespread use of sensor networks to allow the mentioned systems to function has brought with it many security vulnerabilities that conventional “hard security” measures cannot mitigate. It is for this reason that a new “soft security” approach is being taken in conjunction with the conventional security means. Trust models offer an efficient way of mitigating the threats posed by malicious entities in networks that conventional security methods may not be able to combat. This paper discusses the general structure of a trust model, the environments they are used in and the attack types they are used to defend against. The work aims to provide a comprehensive review of the wide assortment of trust parameters and methods used in trust models. The work discusses which environments and network types each of these parameters and calculation methods would be suited to. Finally, a design study is provided to demonstrate how a trust model design will differ between two different industry 4.0 networks.


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Journal of Sensor and Actuator Networks 11, no. 3: 43



Other Funding information

This work has received funding from Science Foundation Ireland (SFI) under the Grant Number 16/RC/3918 (Ireland’s European Structural and Investment Funds Programs and the European Regional Development Fund 2014–2020) and industry partner support provided by Analog Devices International, Limerick, Ireland

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  • Electronic & Computer Engineering

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