Detection of duplicated data with minimum overhead and secure data transmission for sensor big data

2017 ◽  
Vol 22 (S5) ◽  
pp. 10467-10479 ◽  
Author(s):  
S. Beulah ◽  
F. Ramesh Dhanaseelan
Keyword(s):  
Big Data ◽  
Data Transmission ◽  
Secure Data ◽  
Secure Data Transmission

Machine Learning Based Data Security Model Using Blockchain for Secure Data Transmission in IoT

2021 ◽  
Author(s):  
Smitha Chowdary Ch ◽  
Srilakshmi Puli ◽  
Lakshmi Viveka K ◽  
M.V.B.T. Santhi
Keyword(s):  
Machine Learning ◽  
Data Transmission ◽  
Data Security ◽  
Security Model ◽  
Secure Data ◽  
Secure Data Transmission

WSN-IoT Clustering for Secure Data Transmission in E-Health Sector using Green Computing Strategy

2021 ◽  
Author(s):  
Anurag Srivastava ◽  
Abhishek Singh ◽  
Susheel George Joseph ◽  
M. Rajkumar ◽  
Yogini Dilip Borole ◽  
...  
Keyword(s):  
Data Transmission ◽  
Health Sector ◽  
Green Computing ◽  
Secure Data ◽  
Secure Data Transmission

scholarly journals Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

2021 ◽  
Vol 11 (22) ◽  
pp. 10517
Author(s):  
V. Sivasankarareddy ◽  
G. Sundari ◽  
Ch. Rami Reddy ◽  
Flah Aymen ◽  
Edson C. Bortoni
Keyword(s):  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Residual Energy ◽  
Smart Buildings ◽  
Smart Building ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Average Residual ◽  
Grid Based

Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and temperature monitoring. However, the major concern faced in smart building Wireless Sensor Networks (WSNs) is energy depletion and security threats. Many researchers have attempted to solve these issues by various authors in different applications of WSNs. However, limited research has been conducted on smart buildings. Thus, the present research is focused on designing an energy-efficient and secure routing protocol for smart building WSNs. The process in the proposed framework is carried out in two stages. The first stage is the design of the optimal routing protocol based on the grid-clustering approach. In the grid-based model, a grid organizer was selected based on the sailfish optimization algorithm. Subsequently, a fuzzy expert system is used to select the relay node to reach the shortest path for data transmission. The second stage involves designing a trust model for secure data transmission using the two-fish algorithm. A simulation study of the proposed framework was conducted to evaluate its performance. Some metrics, such as the packet delivery ratio, end-end delay, and average residual energy, were calculated for the proposed model. The average residual energy for the proposed framework was 96%, which demonstrates the effectiveness of the proposed routing design.

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