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

scholarly journals A Secure Data Transmission Scheme using Asymmetric Semi-Homomorphic Encryption Scheme

2018 ◽  
Vol 7 (4) ◽  
pp. 369
Author(s):  
S. Nagavalli ◽  
G. Ramachandran
Keyword(s):  
Data Transmission ◽  
Homomorphic Encryption ◽  
Sensor Nodes ◽  
Encryption Scheme ◽  
Security Model ◽  
Information Protection ◽  
Transmission Scheme ◽  
Network Applications ◽  
Secure Data ◽  
Secure Data Transmission

<p>The compressive detecting based information accumulation accomplishes with high exactness in information recuperation from less inspection which is available in sensor nodes. In this manner, the existing methods available in the literature diminish the information gathering cost and delays the existence cycle of WSNs. In this paper, a strong achievable security model for sensor network applications was initially proposed. At that point, a secure data collection conspire was displayed based on compressive detecting, which improves the information protection by the asymmetric semi-homomorphic encryption scheme, and decreases the calculation cost by inadequate compressive grid. In this case, particularly the asymmetric mechanism decreases the trouble of mystery key circulation and administration. The proposed homomorphic encryption permits the in-arrange accumulation in cipher domain, and in this manner improves the security and accomplishes the adjustment in system stack. Further, this paper focuses on estimating various network performances such as the calculation cost and correspondence cost, which remunerates the expanding cost caused by the homomorphic encryption. A real time validation on the proposed encryption scheme using AVISPA was additionally performed and the results are satisfactory.</p>

A deep learning- based frechet and dirichlet model for intrusion detection in IWSN

2021 ◽  
pp. 1-11
Author(s):  
Omar A. Alzubi
Keyword(s):  
Intrusion Detection ◽  
Data Transmission ◽  
Data Security ◽  
Detection Rate ◽  
Dirichlet Distribution ◽  
Data Communication ◽  
Minimum Time ◽  
Security And Privacy ◽  
Secure Data ◽  
Secure Data Transmission

Industrial Wireless Sensor Network (IWSN) includes numerous sensor nodes that collect data about target objects and transmit to sink nodes (SN). During data transmission among nodes, intrusion detection is carried to improve data security and privacy. Intrusion detection system (IDS) examines the network for intrusions based on user activities. Several works have been done in the field of intrusion detection and different measures are carried out to increase data security from the issues related to black hole, Sybil attack, Worm hole, identity replication attack and etc. In various existing approaches, secure data transmission is not achieved, therefore resulted in compromising the security and privacy of IWSNs. Accurate intrusion detection is still challenging task in terms of improving security and intrusion detection rate. In order to improve intrusion detection rate (IDR) with minimum time, generalized Frechet Hyperbolic Deep and Dirichlet Secured (FHD-DS) data communication model is introduced. At first, Frechet Hyperbolic Deep Traffic (FHDT) feature extraction method is designed to extract more relevant network activities and inherent traffic features. With the help of extracted features, anomalous or normal data is predicted. Followed by Statistical Dirichlet Anomaly-based Intrusion Detection model is applied to discover intrusion. Here, Dirichlet distribution is evaluated to attain secure data transmission and significantly detect intrusions in WSNs. Experimental evaluation is carried out with KDD cup 99 dataset on factors such as IDR, intrusion detection time (IDT) and data delivery rate (DDR). The observed results show that the generalized FHD-DS data communication method achieves higher IDR with minimum time.

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

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
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