Rapid popularity of Internet of Things (IoT) and cloud computing permits
neuroscientists to collect multilevel and multichannel brain data to better
understand brain functions, diagnose diseases, and devise treatments. To ensure
secure and reliable data communication between end-to-end (E2E) devices
supported by current IoT and cloud infrastructure, trust management is needed
at the IoT and user ends. This paper introduces a Neuro-Fuzzy based
Brain-inspired trust management model (TMM) to secure IoT devices and relay
nodes, and to ensure data reliability. The proposed TMM utilizes node
behavioral trust and data trust estimated using Adaptive Neuro-Fuzzy Inference
System and weighted-additive methods respectively to assess the nodes
trustworthiness. In contrast to the existing fuzzy based TMMs, the NS2
simulation results confirm the robustness and accuracy of the proposed TMM in
identifying malicious nodes in the communication network. With the growing
usage of cloud based IoT frameworks in Neuroscience research, integrating the
proposed TMM into the existing infrastructure will assure secure and reliable
data communication among the E2E devices.Comment: 17 pages, 10 figures, 2 table

Buonsenso, D.

Ceccarelli, M.

D'Andrea, M.

de Waure, C. (ORCID:0000-0002-4346-1494)

Faccia, V.

Pata, Davide

Salerno, Gilda

Valentini, P. (ORCID:0000-0001-6095-9510)

English

arXiv

BACKGROUND: 
Predictors of hypovitaminosis D were extensively studied in the adult population, leading to an approximately complete understanding of them, while there is a lack of studies in the pediatric population, especially in migrant and internationally adopted children. In this retrospective study, we tried to identify the major laboratory predictors of hypovitaminosis D in a cohort of internationally adopted children.

METHODS: 
Data were extracted from the database of the "Ethnopediatrics Outpatient Clinic" of the "A. Gemelli" Foundation University Hospital in Rome, Italy. Our study included 873 children evaluated from March 2007 to May 2016. Analysis of variance, chi square test, t test and multivariate logistic regression were performed, a "p" value < 0.05 was considered significant, with a confidence interval of 95%.

RESULTS: 
We did not find any significant correlation between Vitamin D and Calcium, Phosphates or Magnesium levels within the population we examined. Moreover, parathyroid hormone is not a good predictor of Vitamin D Status.

CONCLUSIONS: 
Considering the strong influence Vitamin D status has not only on bone health, but also on general well-being, it is due to perform a vitamin D assessment as soon as possible, especially in internationally adopted children

de Waure C. (ORCID:0000-0002-4346-1494)

Buonsenso D.

Valentini P. (ORCID:0000-0001-6095-9510)

PubliCatt

Epidemiology and risk factor of hypovitaminosis D in a cohort of internationally adopted children: a retrospective study

Mufti Mahmud

M. Shamim Kaiser

M. Mostafizur Rahman

M. Arifur Rahman

Antesar Shabut

Shamim Al-Mamun

Amir Hussain

Crossref

Cognitive Computation

A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications

Rapid advancement of Internet of Things (IoT) and cloud computing enables neuroscientists to collect multilevel and multichannel brain data to better understand brain functions, diagnose diseases, and devise treatments. To ensure secure and reliable data communication between end-to-end (E2E) devices supported by current IoT and cloud infrastructures, trust management is needed at the IoT and user ends. This paper introduces an adaptive neuro-fuzzy inference system (ANFIS) brain-inspired trust management model (TMM) to secure IoT devices and relay nodes, and to ensure data reliability. The proposed TMM utilizes both node behavioral trust and data trust, which are estimated using ANFIS, and weighted additive methods respectively, to assess the nodes trustworthiness. In contrast to existing fuzzy based TMMs, simulation results confirm the robustness and accuracy of our proposed TMM in identifying malicious nodes in the communication network. With growing usage of cloud based IoT frameworks in Neuroscience research, integrating the proposed TMM into existing infrastructure will assure secure and reliable data communication among E2E devices

Mahmud, M

Kaiser, MS

Rahman, MM

Rahman, MA

Shabut, A

Al-Mamun, S

Hussain, A

Nottingham Trent Institutional Repository (IRep)

A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications

http://irep.ntu.ac.uk/id/eprint/34135/1/11596_Mahmud.pdf

A Brain-Inspired Trust Management Model to Assure Security in a Cloud
  based IoT Framework for Neuroscience Applications

A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications

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Nottingham Trent Institutional Repository (IRep)