Encryption with User Authentication Model for Internet of Medical Things Environment

Riya, K. S.; Surendran, R; Romero, Carlos Andr閟 Tavera; Sendil, M. Sadish

doi:10.32604/iasc.2023.027779

Cited by 24 publications

(8 citation statements)

References 28 publications

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“…3. The results indicate that the TAMOMO-SCRP approach has accomplished higher NALN over the other methods [23], [24], [25]. For instance, with 8000 rounds, the TAMOMO-SCRP model has resulted in an increased NALN of 99, whereas the CIRP, MEEC, ZCA, OHCR, and IDHR models have obtained reduced NALN of 97, 95, 93, 94, and 90 respectively.…”

Section: Performance Validationmentioning

confidence: 98%

Trust Aware Multi-Objective Metaheuristic Optimization Based Secure Route Planning Technique for Cluster Based IIoT Environment

2022

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Industrial Internet of Things (IIoT) finds use in several industrial applications like robots, medical devices, and software-defined manufacturing processes. Apart from the promising benefits of the IIoT networks, several challenging issues need to be resolved, such as network connectivity, security, privacy, heterogeneity, scheduling, and energy efficiency. Due to the large-scale deployment and heterogeneity of the nodes in IIoT networks, some energy-limited nodes have existed in the IIoT networks, resulting in reduced network lifetime. At the same time, security and privacy are also considered as the major issues that exist in the design of IIoT, which can be addressed using secure routing techniques. In this view, this study develops a trust-aware multiobjective metaheuristic optimization-based secure clustering with route planning (TAMOMO-SCRP) technique for cluster-based IIoT environment. The presented TAMOMO-SCRP technique mainly focuses on the design of bald eagle search (BES) algorithm for clustering and routing processes. The proposed TAMOMO-SCRP model derives a fitness function for accomplishing maximum energy efficiency and security. For an effective clustering process, the TAMOMO-SCRP model designs an objective function involving four parameters such as trust level (TL), communication cost (CC), residual energy (RE), and node degree (ND). Besides, the route selection process is based on the fitness function with two variables, namely, queue length and link quality. For assessing the enhanced performance of the TAMOMO-SCRP model, a wide range of experiments were carried out to get the outcomes of network life time(NLT) as 39451,half network die (HND) as 25950 and Stability period (SP) 8000 time calculated no. of alive nodes. The achieved outcomes make sure the better performance of the TAMOMO-SCRP technique against the other recent approaches.INDEX TERMS Industrial Internet of Things, clustering, bald eagle search algorithm, trust aware protocols, security.

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Section: Performance Validationmentioning

confidence: 98%

Trust Aware Multi-Objective Metaheuristic Optimization Based Secure Route Planning Technique for Cluster Based IIoT Environment

2022

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“…As a result, a 2D Gaussian filter was used to smooth the data [31]. Meta-heuristic are an iterative generation processes that may lead a heuristic algorithm by diverse responsive notions for exploring and exploiting the search space [32].…”

Section: Related Workmentioning

confidence: 99%

Brain Tumor: Hybrid Feature Extraction Based on UNet and 3DCNN

Rajagopal¹,

Thanarajan²,

Alotaibi³

et al. 2023

Computer Systems Science and Engineering

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Automated segmentation of brain tumors using Magnetic Resonance Imaging (MRI) data is critical in the analysis and monitoring of disease development. As a result, gliomas are aggressive and diverse tumors that may be split into intra-tumoral groups by using effective and accurate segmentation methods. It is intended to extract characteristics from an image using the Gray Level Co-occurrence (GLC) matrix feature extraction method described in the proposed work. Using Convolutional Neural Networks (CNNs), which are commonly used in biomedical image segmentation, CNNs have significantly improved the precision of the state-of-the-art segmentation of a brain tumor. Using two segmentation networks, a U-Net and a 3D CNN, we present a major yet easy combinative technique that results in improved and more precise estimates. The U-Net and 3D CNN are used together in this study to get better and more accurate estimates of what is going on. Using the dataset, two models were developed and assessed to provide segmentation maps that differed fundamentally in terms of the segmented tumour sub-region. Then, the estimates was made by two separate models that were put together to produce the final prediction. In comparison to current state-of-the-art designs, the precision (percentage) was 98.35, 98.5, and 99.4 on the validation set for tumor core, enhanced tumor, and whole tumor, respectively.

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“…The main aspect of insisting on the MIMO-OFDM system of LTE is to further mitigate the PAPR after adding the cyclic prefix in the uplink. If the modulated subcarriers are independent in the OFDM system, then the peak value can be very high to be denoted as PAPR [16,17].…”

Section: Figure 2 Block Diagram Of Mimo -Ofdm Systemmentioning

confidence: 99%

“…The input data is encoded and converted to the time domain samples to be subtracted to calculate the next iteration as given in Eq. (17).…”

Section: 𝐿 𝑓𝑝 (T) = ∑ 𝐷 𝑖 (𝑡) 𝑓𝑖𝑡𝑛𝑒𝑠𝑠 𝐷 𝑖 (𝑡) 𝑁 𝑠𝑐 ∑ 𝑓𝑖𝑡𝑛𝑒𝑠𝑠 (𝐷 𝑖 (𝑡))mentioning

confidence: 99%

Implementation of Omar Pigeon Space-Time (OPST) Algorithm to Mitigate the Interference and Peak-to-Average Power Ratio (PAPR) Using RPR Mobile and HST-HM in the 5G

Kumutha¹,

Thanarajan²,

Alharbi³

2022

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Nowadays, the 5G parameters play an eminent role in the massive Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system for enriching high signal to noise ratio (SNR). 5G application has emerged in the role of artificial intelligence for involving the reduction of Peak to Average Power Ratio (PAPR) and Bit Error Rate (BER). In MIMO – OFDM system, the high PAPR is a tremendous drawback during the transmission of bit symbol with the number of sub-carriers in the signal. To avoid Intercarrier Interference (ICI) during transmission of the number of sub-carriers, the Omar Pigeon Space-Time (OPST) algorithm is implemented. Then, to overcome high PAPR in the uplink, the Hybrid Space-Time - Hadamard matrix (HST-HM) techniques are proposed and the Bit Error Rate (BER) is decreased abruptly. 5G parameters and specifications are incorporated in this OPST algorithm for avoiding interference during the data bit transmission in the MIMO – OFDM system. Realtors Property Resource (RPR) mobile app is developed for an experimental display of the information that occurs in the real-time uplink MIMO – OFDM system. Thus, the descriptive analysis and simulated results of PAPR, SNR, and BER are executed using the proposed system of HST with HM in the 5G Communication. The RPR mobile executes the outcomes through the OPST algorithm with a better system performance of the MIMO-OFDM system based on the 5G.

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Encryption with User Authentication Model for Internet of Medical Things Environment

Cited by 24 publications

References 28 publications

Trust Aware Multi-Objective Metaheuristic Optimization Based Secure Route Planning Technique for Cluster Based IIoT Environment

Trust Aware Multi-Objective Metaheuristic Optimization Based Secure Route Planning Technique for Cluster Based IIoT Environment

Brain Tumor: Hybrid Feature Extraction Based on UNet and 3DCNN

Implementation of Omar Pigeon Space-Time (OPST) Algorithm to Mitigate the Interference and Peak-to-Average Power Ratio (PAPR) Using RPR Mobile and HST-HM in the 5G

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