Trustworthy data fusion and mining in Internet of Things

2015 ◽  
Vol 49 ◽  
pp. 45-46 ◽  
Author(s):  
Zheng Yan ◽  
Jun Liu ◽  
Athanasios V. Vasilakos ◽  
Laurence T. Yang
Keyword(s):  
Internet Of Things ◽  
Data Fusion

Medical data fusion algorithm based on Internet of things

2018 ◽  
Vol 22 (5-6) ◽  
pp. 895-902 ◽  
Author(s):  
Weiping Zhang ◽  
Jingzhi Yang ◽  
Hang Su ◽  
Mohit Kumar ◽  
Yihua Mao
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Medical Data ◽  
Fusion Algorithm

scholarly journals Security Technology of Wireless Sensor Internet of Things Based on Data Fusion

2017 ◽  
Vol 13 (11) ◽  
pp. 25
Author(s):  
Jie Zhang
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Original Data ◽  
Wireless Sensor ◽  
The Internet ◽  
Fusion Technology ◽  
Security Technology ◽  
Fusion Algorithm ◽  
The Impact ◽  
The Internet Of Things

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">In order to prove the effect of data fusion technology in the Internet of things, a wireless sensor Internet of things security technology based on data fusion is designed, and the impact of data fusion in the field of communication technology is studied. Therefore, two security fusion algorithms are designed on the basis of analyzing and comparing the advantages and disadvantages of various security fusion algorithms, namely, data security fusion algorithm EDCSDA and approximate fusion algorithm PADSA. By analyzing the probability distribution model of the data collected by the nodes, the disturbance data is superimposed on the original data to hide the effect of the original data. A test bed system for perception layer of the Internet of things is designed and implemented. The test results prove the feasibility of the two algorithms. Meanwhile, it shows that the two algorithms can reduce the transmission overhead of the network while guaranteeing the security. Based on the above finding, it is concluded that data fusion technology is very effective for improving network efficiency and prolonging the network life cycle as one of the key technologies in the perception layer of Internet of things.</span>

DFIOT: Data Fusion for Internet of Things

2020 ◽  
Vol 28 (4) ◽  
pp. 1136-1160
Author(s):  
Sahar Boulkaboul ◽  
Djamel Djenouri
Keyword(s):  
Internet Of Things ◽  
Data Fusion
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