Title: The flaws of Internet of Things (IoT) intrusion detection and prevention schemes

Authors: Saher Ghayyad; Shengzhi Du; Anish Kurien

Addresses: Department of Electrical Engineering, Tshwane University of Technology, Pretoria, 0001, South Africa ' Department of Electrical Engineering, Tshwane University of Technology, Pretoria, 0001, South Africa ' Department of Electrical Engineering, Tshwane University of Technology, Pretoria, 0001, South Africa

Abstract: As the internet evolved to include the Internet of Things (IoT), each physical system with an IP address on this wide network can communicate without human intervention. These cyber-physical systems can vary from a smart grid to a smartphone and are attractive to hackers leading to a high risk of compromise of these systems on core infrastructure and network communication security. This paper addresses a denial-of-service (DoS) attack, one of the major attacks on IoT networks. The flaws are discovered in existing IoT intrusion detection and prevention schemes combating DoS attacks on wireless sensor networks (WSNs). Live DoS attacks on IoT sensors are demonstrated using Kali Linux Platform. Moreover, the flaws in existing solutions are revealed using a demo Cisco Meraki MR33 and a more effective intrusion detection scheme is proposed by an active in-depth-defence strategy against DoS attacks.

Keywords: IoT; Internet of Things; hackers; denial-of-service (DoS) attack; WSNs; wireless sensor networks; intrusion detection and prevention schemes; Cisco Meraki MR33; Air Marshal.

DOI: 10.1504/IJSNET.2022.120270

International Journal of Sensor Networks, 2022 Vol.38 No.1, pp.25 - 36

Received: 13 Oct 2020
Accepted: 21 Feb 2021
Published online: 13 Jan 2022 *

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