Polyscale analysis and fractional operators for cognitive systems

Kinsner, W.

doi:10.1109/icci-cc.2014.6921433

Cited by 9 publications

(1 citation statement)

References 6 publications

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“…In the simplest form, the ZCR is a monoscale measure. The ZCR can be extended to multiscale and polyscale measures (Kinsner, 2014;Kinsner, 2011;Kinsner, 2007a;Kinsner, 2007b). Notice that there is no evidence in the literature that previous research in this niche has been conducted.…”

Section: Introductionmentioning

confidence: 99%

Zero-Crossing Analysis of Lévy Walks and a DDoS Dataset for Real-Time Feature Extraction

Kinsner

Gonzalez

2016

International Journal of Software Science and Computational Intelligence

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A comparison between the probability similarities of a Distributed Denial-of-Service (DDoS) dataset and Lévy walks is presented. This effort validates Lévy walks as a model resembling DDoS probability features. In addition, a method, based on the Smirnov transform, for generating synthetic data with the statistical properties of Lévy-walks is demonstrated. The Smirnov transform is used to address a cybersecurity problem associated with the Internet-of-things (IoT). The synthetic Lévy-walk is merged with sections of distinct signals (uniform noise, Gaussian noise, and an ordinary sinusoid). Zero-crossing rate (ZCR) within a varying-size window is utilized to analyze both the composite signal and the DDoS dataset. ZCR identifies all the distinct sections in the composite signal and successfully detects the occurrence of the cyberattack. The ZCR value increases as the signal under analysis becomes more complex and produces steadier values as the varying window size increases. The ZCR computation directly in the time-domain is its most notorious advantage for real-time implementations.

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Section: Introductionmentioning

confidence: 99%