Abstract

AbstractWith the advent of the internet in the recent past, communication and transferring data are no longer challenging. The internet of things (IoT) and many other mobile devices are another paradigm that has evolved lately and plays a significant role in communications. Smart healthcare has been a field of incredible change and growth in the age of smart houses, smart communities and the digital era. Technological expertise and electronics devices have fused, resulting in the internet of healthcare things (IoHT). It is considered to be one of the most required technological progress. However, the IoHT devices, wireless transmission of sensitive patient data poses some obvious security concerns. In addition, with the widespread use of IoHT devices, the foremost challenge is to manage and ensuring security while using IoHT for clinical applications. In this paper, the security and privacy challenges and associated threats in the domain of IoHT are thoroughly reviewed. A real‐time collaborative jamming detection algorithm is proposed, which caters to all the significant challenges being faced. A jamming attack is a sub‐type of denial of service (DoS) attack due to free Wi‐Fi access points (APs) that executes on both mobile devices and Wi‐Fi AP. The proposed algorithm investigates the strength of the received signal and the ratio of packet loss in the mobile devices, whereas the number of connected clients disrupted by the jammer is considered Wi‐Fi AP. The approach aims to mitigate the causes of false alarms by connecting the originator present in the network, interfering with communication between the mobile devices and the Wi‐Fi AP. This approach can be used to detect the presence of a jammer, which may hamper mobile device communication and prevent confidential information, that can be acquired via fake Wi‐Fi AP.

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