Risk and threat mitigation techniques in internet of things (IoT) environments: a survey

Author:

Salayma Marwa

Abstract

Security in the Internet of Things (IoT) remains a predominant area of concern. Although several other surveys have been published on this topic in recent years, the broad spectrum that this area aims to cover, the rapid developments and the variety of concerns make it impossible to cover the topic adequately. This survey updates the state of the art covered in previous surveys and focuses on defences and mitigations against threats rather than on the threats alone, an area that is less extensively covered by other surveys. This survey has collated current research considering the dynamicity of the IoT environment, a topic missed in other surveys and warrants particular attention. To consider the IoT mobility, a life-cycle approach is adopted to the study of dynamic and mobile IoT environments and means of deploying defences against malicious actors aiming to compromise an IoT network and to evolve their attack laterally within it and from it. This survey takes a more comprehensive and detailed step by analysing a broad variety of methods for accomplishing each of the mitigation steps, presenting these uniquely by introducing a “defence-in-depth” approach that could significantly slow down the progress of an attack in the dynamic IoT environment. This survey sheds a light on leveraging redundancy as an inherent nature of multi-sensor IoT applications, to improve integrity and recovery. This study highlights the challenges of each mitigation step, emphasises novel perspectives, and reconnects the discussed mitigation steps to the ground principles they seek to implement.

Publisher

Frontiers Media SA

Reference106 articles.

1. Internet of things security requirements, threats, attacks, and countermeasures;Abdel-Basset,2022

2. A comprehensive iot attacks survey based on a building-blocked reference model;Abdul-Ghani;Int. J. Adv. Comput. Sci. Appl.,2018

3. Network information flow;Ahlswede;IEEE Trans. Inf. theory,2000

4. Consumer iot: security vulnerability case studies and solutions;Alladi;IEEE Consum. Electron. Mag.,2020

5. A survey on software-defined networks and edge computing over iot;Alonso,2019

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