Secure Data Transmission in Internet of Medical Things Using RES-256 Algorithm

Nagarajan, Senthil Murugan; Deverajan, Ganesh Gopal; Kumaran, U; Thirunavukkarasan, M.; Alshehri, Mohammad Dahman; Alkhalaf, Salem

doi:10.1109/tii.2021.3126119

Cited by 41 publications

(10 citation statements)

References 27 publications

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“…153 The CryptoCurrency Security Standard (CCSS) is now being adopted and adapted by some in the IoMT device space. 154 The Philips BX100 biosensor (previous section), designed for implementation in hospital settings, uses BLE 4.2 and WiFi to wirelessly transmit recorded data at 1 min intervals to a router running Philips' IntelliVue Guardian Software. Each router (data management layer), which can connect to 16 biosensors simultaneously will transmit data to the medical service layer: the software automatically receives and tracks data from the deployed sensors, identifies deviations/ deterioration of vital signs, and alerts the caregivers to act.…”

Section: Internet Of Medical Things (Iomt)mentioning

confidence: 99%

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Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review

et al. 2022

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Bioelectrical impedance analysis and bioelectrical impedance spectroscopy (BIA/BIS) of tissues reveal important information on molecular composition and physical structure that is useful in diagnostics and prognostics. The heterogeneity in structural elements of cells, tissues, organs, and the whole human body, the variability in molecular composition arising from the dynamics of biochemical reactions, and the contributions of inherently electroresponsive components, such as ions, proteins, and polarized membranes, have rendered bioimpedance challenging to interpret but also a powerful evaluation and monitoring technique in biomedicine. BIA/BIS has thus become the basis for a wide range of diagnostic and monitoring systems such as plethysmography and tomography. The use of BIA/BIS arises from (i) being a noninvasive and safe measurement modality, (ii) its ease of miniaturization, and (iii) multiple technological formats for its biomedical implementation. Considering the dependency of the absolute and relative values of impedance on frequency, and the uniqueness of the origins of the α-, β-, δ-, and γ-dispersions, this targeted review discusses biological events and underlying principles that are employed to analyze the impedance data based on the frequency range. The emergence of BIA/BIS in wearable devices and its relevance to the Internet of Medical Things (IoMT) are introduced and discussed.

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Section: Internet Of Medical Things (Iomt)mentioning

confidence: 99%

“…The challenge of managing large data volume, privacy policies, and sensor interoperability may be addressed by semantic medical IoT (SM-IoT) . The CryptoCurrency Security Standard (CCSS) is now being adopted and adapted by some in the IoMT device space …”

Section: Bis and Telehealthmentioning

confidence: 99%

Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review

et al. 2022

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“…As a hot topic for conflict resolution in crowdsourcing, the privacy issue in truth discovery has attracted significant attention, and various approaches based on cryptography [44][45][46][47][48][49] or differential privacy have been investigated. Miao et al [16] proposed the first privacypreserving approach called PPTD, which relies on the threshold homomorphic cryptosystem [50] to protect the confidentiality of the worker's answers and weights.…”

Section: Related Workmentioning

confidence: 99%

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Wang

Cheng

et al. 2022

Security and Communication Networks

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Nowadays, crowdsourcing has witnessed increasing popularity as it can be adopted to solve many challenging question-answering tasks. One of the most significant problems in crowdsourcing is truth discovery, which aims to find reliable information from conflict answers provided by different workers. Despite the effectiveness for providing reliable aggregated results, existing works on truth discovery either fall short of preserving the workers’ privacy or fail to consider the unfairness issue in their design. In light of this deficiency, we propose a novel private and fair truth discovery approach called PFTD, which is implemented by two non-colluding cloud servers and leverages the Paillier cryptosystem. This approach not only preserves the privacy of the answers of each worker, but also addresses the unfairness issue in crowdsourcing. Extensive experiments conducted on both real and synthetic datasets demonstrate the effectiveness of our proposed PFTD approach.

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“…Nagarajan et al [19] proposed an intelligent city dynamic food supply chain based on the Internet of Tings, which can ensure food quality, provide vehicle routes, and track pollution sources. Nagarajan et al [20] proposed an encryption technology to provide efective security using data from embedded devices or medical storage databases.…”

Section: Related Workmentioning

confidence: 99%

Federated Learning Framework Based on Data Value Evaluation in Industrial IoT

et al. 2022

Security and Communication Networks

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With the continuous maturity and development of the big data technology system, deep learning has been widely used in the field of the Industrial Internet of Things. However, the traditional training model with centralized data is prone to the leakage of private information in the industry, such as facial information. In recent years, federated learning solves the problem of privacy leakage caused by data sharing by not sharing data and only contributing to local models. Federated learning does not share data, which also makes it impossible to evaluate the contribution of each client to the federated task. We propose a federated learning framework based on data value evaluation. In this method, under the premise of effectively completing the training task of federated learning and ensuring the privacy of client data, a data value evaluator is designed in the central server, and the model uploaded by the client is evaluated to obtain the corresponding selection probability as the model aggregation weight. Experimental results show that the proposed method improves the accuracy of the global model obtained by existing federated aggregation.

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Secure Data Transmission in Internet of Medical Things Using RES-256 Algorithm

Cited by 41 publications

References 27 publications

Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review

Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Federated Learning Framework Based on Data Value Evaluation in Industrial IoT

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