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In the development of the Industrial Internet of Things (IIoT), cyber threats and attacks have become major issues and concerns in Industry 4.0 due to the negative impacts on the infrastructures and services across organizations. Nevertheless, due to the issues in preserving privacy and transparency, there is a lack of…
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In recent times, there has been a growing utilization of Machine Learning (ML) in the realm of malware detection. The Adversarial Example (AE) attack, which is widely acknowledged for undermining ML in diverse contexts, has demonstrated its effectiveness in evading or deceiving ML-based systems designed for malware detection. By ensuring…
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With the continuous growth of the internet and web applications, billions of websites built and available at our fingertips today lead more and more sophisticated and malicious attacks and pose requirements to build more precise and modern Web Attack Detection (WAD) system. Nowadays, many Machine Learning (ML)-based WAD approaches have…
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In recent years, the advancements in the Internet of Medical Things (IoMT) or smart devices have enabled the automatic monitoring of human health. Using smart healthcare devices can not only reduce the burden on hospitals but also save costs, travel time, and provide a way to diagnose diseases at home,…
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An increasing number of devices are connecting to the Internet via Wi-Fi networks, ranging from mobile phones to Internet of Things (IoT) devices. Moreover, Wi-Fi technology has undergone gradual development, with various standards and implementations. In a Wi-Fi network, a Wi-Fi client typically uses the Transmission Control Protocol (TCP) for…
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