Title: A lightweight fog-based internal intrusion detection system for smart environments

Authors: Eduardo Willwock Lussi; Hugo Vaz Sampaio; Cristiano Antonio de Souza; Carlos Becker Westphall

Addresses: Department of Informatics and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil ' Department of Informatics and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil ' Department of Informatics and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil ' Department of Informatics and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil

Abstract: We introduce a lightweight specification-based internal intrusion detection system for smart environments monitoring IoT devices directly in fog computing layer, solving latency issues and being able to protect fog and above layers from denial of service (DoS) attacks. We further investigate different approaches to mitigate an attack considering not only fog computing layer, but also exploiting the distributed nature of IoT using mist computing layer to mitigate an attack. Considering a smart condominium fire alarm system with 300 IoT devices traffic, our approach could spot a DoS attack that comes from an infected IoT layer node and reduce the fog device processing consumption from 31%, when under attack, to 24% with fog-only acting and 9% with fog and mist layer acting afterwards.

Keywords: intrusion detection; fog computing; cloud computing; mist computing; internet of things; denial of service attack; distributed denial of service attack.

DOI: 10.1504/IJIITC.2022.129110

International Journal of Intelligent Internet of Things Computing, 2022 Vol.1 No.4, pp.287 - 299

Received: 07 Mar 2022
Accepted: 30 Mar 2022
Published online: 20 Feb 2023 *

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