Secrecy Outage Probability of Relay Selection Based Cooperative NOMA for IoT Networks

As an important partner of fifth generation (5G) communication, the internet of things (IoT) is widely used in many fields with its characteristics of massive terminals, intelligent processing, and remote control. In this paper, we analyze security performance for the cooperative non-orthogonal multiple access (NOMA) networks for IoT, where the multi-relay Wyner model with direct link between the base station and the eavesdropper is considered. In particular, secrecy outage probability (SOP) for two kinds of relay selection (RS) schemes (i.e., single-phase RS (SRS) and two-phase RS (TRS)) is developed in the form of closed solution. As a benchmark for comparison, the SOP for random RS (RRS) is also obtained. To gain more meaningful insights, approximate derivations of SOP under the high signal-to-noise ratio (SNR) region are provided. Results of statistical simulation confirm the theoretical analysis and testify that: i) Compared with RRS scheme, SRS and TRS may improve secure performance because of obtaining smaller SOPs; ii) There exists secrecy performance floor for the SOP in strong SNR regime, which is dominated by NOMA protocol; iii) The security performance can be enhanced by augmenting the quantity of relays for SRS and TRS strategies. The purpose of this work is to provide theoretical basis for the analysis and design of anti-eavesdropping for NOMA systems in IoT

C-shaped slot loaded reconfigurable microstrip antenna

A new electronically reconfigurable dual frequency microstrip patch antenna with highly simplified varactor tuning circuitry is presented. The proposed design allows relatively independent selection of the two operating frequencies. Tuning ranges of 7.1 and 4.1% are realised for the two resonant frequencies without the use of any matching circuits

An efficient and privacy-preserving scheme for disease prediction in modern healthcare systems

With the Internet of Things (IoT), mobile healthcare applications can now offer a variety 12 of dimensionalities and online services. Disease Prediction Systems (DPS) increase the speed and 13 accuracy of diagnosis, improving the quality of healthcare services. However, privacy is garnering 14 an increasing amount of attention these days, especially concerning personal healthcare data, 15 which is sensitive. There are a variety of prevailing privacy preservation techniques for disease 16 prediction that are rendered. Nonetheless, there is a chance of medical users being affected by 17 numerous disparate diseases. Therefore, it is vital to consider multi-label instances, which might 18 decrease the accuracy. Thus, this paper proposes an efficient privacy-preserving (PP) scheme for 19 patient healthcare data collected from IoT devices aimed at disease prediction in the modern 20 Health Care System (HCS). The proposed system utilizes the Log of Round value-based Elliptic 21 Curve Cryptography (LR-ECC) to enhance the security level during data transfer after the initial 22 authentication phase. The authorized healthcare staff can securely download the patient data on 23 the hospital side. Utilizing the Herding Genetic Algorithm-based Deep Learning Neural Network 24 (EHGA-DLNN) can test these data with the trained system to predict the diseases. The experi- 25 mental results demonstrate that the proposed approach improves prediction accuracy, privacy, 26 and security compared to the existing methods

Role of microRNA, bta-miR-375 in Immune Sturdiness of Vechur: The Native Cattle Breed of Kerala, India #

In the present study, next generation sequencing was employed to identify and explore the differential expression profiles of microRNAs (miRNAs) in peripheral blood mononuclear cells (PBMCs) of crossbred (B. taurus x B. indicus) and Vechur (B. indicus) cattle in response to the bacterial endotoxin-lipopolysaccharide (LPS). The PBMCs from adult apparently healthy female crossbred cows and Vechur cattle, a native cattle breed of Kerala, India were stimulated with 10 μg/mL of LPS for 6 h. Among the differentially expressed miRNAs, the expression of 13 miRNAs showed statistically significant up regulation while, significant decrease in the expression of 15 miRNAs was noticed in LPS treated PBMCs of Vechur cattle compared to crossbred cows. The expression profiling of miRNA, bta-miR-375, expression of which was found to be significantly down regulated in LPS treated PBMCs of Vechur cattle with respect to crossbred cattle by the NGS studies, is presented in the present manuscript. The decrease in expression of bta-miR-375 noticed by NGS was in accordance with the results of quantitative real time PCR assay. Functional gene enrichment analysis and pathway analysis revealed significant enrichment of predicted targets of bta-miR-375 in many immune related and cell signalling mechanisms. In addition, over representation of targets of bta-miR-375 was also noticed in pathogenesis of many of the bovine diseases. The study could also identify differences in the expression of cytokines, viz. Tumour Necrosis Factor Alpha (TNFα), Interleukin 4 (IL-4) and Interferon-γ (IFNγ) between LPS treated and untreated PBMCs of crossbred and Vechur cattle