Okba Taouali1,*, Sawcen Bacha2, Khaoula Ben Abdellafou1, Ahamed Aljuhani1, Kamel Zidi3, Rehab Alanazi1, Mohamed Faouzi Harkat4
Computer Systems Science and Engineering, Vol.47, No.2, pp. 1593-1609, 2023, DOI:10.32604/csse.2023.039984
Abstract Introducing IoT devices to healthcare fields has made it possible
to remotely monitor patients’ information and provide a proper diagnosis
as needed, resulting in the Internet of Medical Things (IoMT). However,
obtaining good security features that ensure the integrity and confidentiality of patient’s information is a significant challenge. However, due to
the computational resources being limited, an edge device may struggle to
handle heavy detection tasks such as complex machine learning algorithms.
Therefore, designing and developing a lightweight detection mechanism is
crucial. To address the aforementioned challenges, a new lightweight IDS
approach is developed to effectively combat a diverse range… More >
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