Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests
--- Information Sciences
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Network traffic monitoring and analysis-related research has struggled to scale for massive amounts of data in real time.
In this paper the authors build up on the progress of open source tools like Hadoop, Hive and Mahout to provide a scalable implementation of quasi-real-time intrusion detection system.
As per the current knowledge of the authors, the area of network security analytics severely lacks prior research in addressing the issue of Big Data.
Improving pattern recognition accuracy of partial discharges by new data preprocessing methods
--- Electric Power Systems Research
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Thus, analyzing the huge amount of data is not feasible unless data pre-processing is manipulated.
As mentioned, PD is completely a random and nonlinear phenomenon. Since ANNs are the best classifiers to model such nonlinear systems, PD patterns can be recognized suitably by ANNs.
In other words, when classifier is trained after initial sophistications based on the PRPD patterns extracted from some objects including artificial defects, it can be efficiently used in practical fields to identify the exactly same PD sources by new test data without any iterative process.
In pulse shape characterization, some signal processing methods such as Wavelet or Fourier transforms are usually used to extract some features from PD waveshape. These methods are affected by noise and so it is necessary to incorporate some de-noising methods into the pattern recognition process.
PD identification is usually performed using PRPD recognition which is not influenced by changing the experimental set up.
Partial Discharge Pattern Recognition of Cast Resin Current Transformers Using Radial Basis Function Neural Network
--- Journal of Electrical Engineering & Technology propose, novel, vital, demonstrate, conduct, significant,
This paper proposes a novel pattern recognition approach based on the radial basis function (RBF) neural network for identifying insulation defects of high-voltage electrical apparatus arising from partial discharge (PD).
PD measurement and pattern recognition are important tools for improving the reliability of the high-voltage insulation system.