Adaptive Detection Method for Packet-In Message Injection Attack in SDN

Author(s):  
Xinyu Zhan ◽  
Mingsong Chen ◽  
Shui Yu ◽  
Yue Zhang
2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunshin Kim ◽  
HeeJung Jung ◽  
Sung Hee Han ◽  
SeungJae Lee ◽  
JeongSub Kwon ◽  
...  

Author(s):  
Shirong Zhang ◽  
Lian Wu

The defect detection of 3D image of nano CT under different interference has the phenomenon of prominent dislocation. Therefore, an adaptive detection method of 3D image defect of nano CT based on wavelet decomposition is proposed. Analyze the noise of three-dimensional image of nano CT, determine the mixed filtering of image sequence according to the different noise properties, evaluate the mixed filtering of image sequence, complete the preprocessing of three-dimensional image of nano CT, fuse the three-dimensional image of nano CT decomposed by wavelet after preprocessing, enhance the image after decomposition, and realize the defect adaptive detection through the characteristics of wavelet decomposition. The experimental results show that the design method can effectively detect the interference and solve the problems of traditional methods.


2021 ◽  
Author(s):  
Weidong Liu

The objective of this thesis research is to develop an efficient method for accurate detections of power line harmonic distortions for the control of active filters. The research has achieved its objective with four significant results. First, an adaptive power line harmonic detection method is developed, which is based on the findings of extensive research in the areas of inside and outside of power electronics controls. Second, a simple and practical formulation of the adaptive harmonic detection method is developed, which is simplified significantly from the original complex design formulations for noise cancellations. Third, vigorous verifications of effectiveness of the adaptive detection method using computer simulations are carried out, which cover the steady state operations, the dynamic operations, normal power line conditions, non-ideal supply and load conditions, etc. Fourth, experimental verifications of the accuracy of the adaptive detection method are conducted, which cover typical distorted power line conditions for normal and unbalanced operations. For illustration, this thesis presents carefully designed computer simulation and experimental case studies that cover a wide range of power line conditions.


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