An Intelligent and Secured Privacy Preserving Framework For Wireless Body Area Networks (WBANs)

Abstract

In recent years, developments in information technology and emerging technologies have greatly benefited e-health. The adoption of Wireless Body Area Networks is a perfect example (WBAN). The WBAN is a popular device. Medical care can be delivered remotely to patients in their own homes via tele-homecare (also known as tele-diagnosis). Diabetes, dementia, falls, congestive heart failure, asthma, and infertility are among the conditions for which they are prescribed. An emergency response time could be sped up by using WBANs to monitor patients' health in real time. From a more traditional strategy to a more updated patient-centered one has been seen in recent years. Telemedicine and telemonitoring are two examples of current patient-centered practises that use technology to make it easier for patients to provide personal information. Telemonitoring has been discovered as a feasible research subject using the most up-to-date methods of turning raw data into meaningful information. WBAN stability is dependent on preventing node overheating and conserving energy. LB-EESAA routing mechanism for WBANs and the early warning system for attacks during Blockchain transactions are discussed in this study. Results show that LB-EESAA performs best in terms of both the number of live and dead nodes and the length of protocol stability. We were able to raise the level of security of the organisation after increasing the efficiency of WBANs. We examined the read throughput and basic transaction throughput of a blockchain-enabled system. After assuring and safeguarding the privacy of the system, we used the Logi-XGB prediction model machine learning to forecast assaults. Using the Logi-XGB model, 95.7 percent of the assault could be predicted in its early stages.

Enhancing the performance of network in wireless body area network based on novel encryption algorithm

“…For telemedicine, we need an advanced network that lets users communicate with patients in real-time and send high-quality video without slowing down the network. Website and app developers are used to keep an eye on a patient's health in a remote area [5]. The contribution of this technique is to give an immediate response if something goes wrong with a patient.…”

“…The contributing components to the transition probabilistic approach are 𝑖) 𝜂 𝑑𝑥 𝑎𝑛𝑑 𝑖𝑖) 𝜏 𝑑𝑥 which are provided by ( 4) and (5).…”