Trust management in the Internet of medical things

Nawaz, Rida; Rehman, Laiba; Tariq, Muhammad Imran

doi:10.1016/b978-0-323-89872-0.00012-5

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…The paper [11] depicted Threat Classification Model (TCM) using fuzzy logic (FL) for detection in real-time of a suitable privacy level for videos transmitting. Researchers [12], [13]discuss the recent developments in IoT privacy and security, points out unresolved problems, and offers areas for further research.To address [14]the issueswith response time, message failure, fault tolerance, and security offered by the blockchain, authors put forth heuristic methods.While reducing the reaction time for urgent communications and unloading the cloud infrastructure, the suggested method calls for only minor changes to the current Internet of Things ecosystem [15]. This study proposes a message scheduling for a blockchain-based architecture [16], and develop an efficient algorithm for cross-layer architecture at network and application level [17].The use of IoT and Blockchain technology allows for a smart technique of detecting and preventing COVID-19 victims [18]and authors [19]suggest auto detects encoder and secure the video output of very encoder.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Izhar,

Naqvi,

Ahmed

et al. 2023

IEEE Access

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This paper presents an innovative framework that leverages cutting-edge technologies to revolutionize healthcare systems, focusing on data security, privacy, and efficient medical diagnosis. Our approach integrates distributed ledger technology (DLT), artificial intelligence (AI), and edge computing to create a robust and dependable medical ecosystem. In our proposed system, patients' health data is securely managed using a combination of elliptic curve cryptography-based identity-based cryptosystems and edge nodes, ensuring both privacy and integrity. These edge nodes, designed for lowpower and short-range communication, play a pivotal role in in-vivo data collection and monitoring within the human body.The DLT model at the core of our framework utilizes peer-to-peer networks, enabling seamless information exchange while eliminating the need for centralized servers. We emphasize public edge DLTs, such as Ethereum, to ensure accessibility and data ownership for all stakeholders. Furthermore, our system incorporates a hybrid machine learning model for early detection and prediction of security threats, enhancing overall system efficiency. Our findings demonstrate a remarkable 99.7% accuracy in classification using this approach. In conclusion, this framework's multidisciplinary approach bridges the gap between healthcare, edge computing, and DLT, promising real-time data processing, enhanced security, and privacy preservation. With the rise of the Internet of Things, this innovation holds the potential to transform the future of healthcare technology.

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Section: Related Workmentioning

confidence: 99%

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Izhar,

Naqvi,

Ahmed

et al. 2023

IEEE Access

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“…Here are some common types of menstrual irregularities and their descriptions: Amenorrhea Amenorrhea refers to the absence of menstrual periods. [12] There are two main types: primary amenorrhea (absence of menstruation by age 16) and secondary amenorrhea (cessation of menstruation for at least 3 months in women who previously had regular periods).…”

Section: Types Of Menstrual Irregularitiesmentioning

confidence: 99%

Untitled

2023

Int. J. Appl. Res.

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Menstrual irregularities are a common concern among women of reproductive age, impacting their physical and emotional well-being. This review paper provides a comprehensive overview of menstrual irregularities, focusing on their causes, normal values, and classification. We elucidate the normal menstrual cycle parameters and variations, shedding light on what is considered typical for menstrual frequency and flow. To facilitate a clearer understanding, we present a detailed classification of menstrual irregularities, encompassing oligomenorrhea, menorrhagia, metrorrhagia, and more. This paper aims to serve as a valuable resource for healthcare professionals, researchers, and individuals seeking insights into the complex nature of menstrual irregularities, thereby promoting better health awareness and informed decision-making.

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“…Secondary amenorrhea refers to the absence of three or more periods continuously in a woman who has attained puberty [ 1 ]. Pregnancy is the most common cause of secondary amenorrhea.…”

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confidence: 99%

Lithium Induced Amenorrhea: A First Case Report

KE,

Tayal,

Egambarame

et al. 2024

AML

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A 19-year-old female, known case of bipolar disorder had history of amenorrhea (absence of menstruation) for three years. While other causes of amenorrhea such as CNS, pregnancy, other medications, and thyroid issues were ruled out, she was found to have hyper-prolactinemia. Although antipsychotic medications are known to cause amenorrhea due to dopamine receptor blockade, which may result in hyperprolactinemia, the patient’s symptoms began before she started these medications. Only drug that she was on for long period is lithium. Current literature shows mixed evidence about lithium’s impact on prolactin levels, which can affect menstruation. This case may represent the first report of lithium causing amenorrhea through elevated prolactin levels. Clinicians should be aware of this potential side effect and monitor patients accordingly. Further studies are needed to confirm and understand this potential link.

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Trust management in the Internet of medical things

Cited by 4 publications

References 20 publications

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

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Lithium Induced Amenorrhea: A First Case Report

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