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Abstract
The success of Internet of Things (IoT) deployment has emerged important smart applications. These applications are running independently on different platforms, almost everywhere in the world. Internet of Medical Things (IoMT), also referred as the healthcare Internet of Things, is the most widely deployed application against COVID-19 and offering extensive healthcare services that are connected to the healthcare information technologies systems. Indeed, with the impact of the COVID-19 pandemic, a large number of interconnected devices designed to create smart networks. These networks monitor patients from remote locations as well as tracking medication orders. However, IoT may be jeopardized by attacks such as TCP SYN flooding and sinkhole attacks. In this paper, we address the issue of detecting Denial of Service attacks performed by TCP SYN flooding attacker nodes. For this purpose, we develop a new algorithm for Intrusion Detection System (IDS) to detect malicious activities in the Internet of Medical Things. The proposed scheme minimizes as possible the number of attacks to ensure data security, and preserve confidentiality of gathered data. In order to check the viability of our approach, we evaluate analytically and via simulations the performance of our proposed solution under different probability of attacks.
Highlights
Internet of Things has become as a powerful industrial revolution by which a huge of heterogeneous objects such as sensors, mobile devices, cameras, and vehicles can connect with each other via Internet
Internet of Things (IoT), the Internet of Medical Things (IoMT) [1], is gaining importance to deal with the unprecedented COVID-19 pandemic
IoMT strategy has become more exploring in many solutions such as heart rate variability (HRV), respiratory rate variability (RRV) affected by COVID-19 outbreak
Summary
Internet of Things has become as a powerful industrial revolution by which a huge of heterogeneous objects such as sensors, mobile devices, cameras, and vehicles can connect with each other via Internet. These objects collect immense kinds of data and being further processed and analyzed in order to extract useful information. Monitor remotely the status of infected patients, collect data, and analyze data deploy the concept of interconnected network for an effective flow and exchange of data This enable interconnected devices/operations to be in connection with the service benefactors for discussing any issue and cooperation remotely [5]. In TCP SYN attack, the attacker sends multiple TCP request packets to initiate the connection and resulting in slow down the distant node and can weaken the network performance
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