Dr. Patrice Abry of CNRS Senior Scientist at Ecole Normale Supérieure de Lyon

Internet traffic modeling and analysis is critical for network design and for cybersecurity. Internet traffic differs from Telephone traffic insofar as it characterized by long range dependent scale-free temporal dynamics. In this talk, we will describe multiscale analysis as a state-of-the-art tool to assess and quantify scale-free dynamics. We will also that show that wavelet analysis msut be combined with random projection strategies to permit a statistical characterization of Internet background traffic both accurate and robust to anomalies. In turn, these random projections can be further involved into automated anomaly detection and into the identification of the IP addresses involved. However, scale-free analysis remained so far mostly univariate, applied independently to directional counts of either bytes or packets, while challenges in cybersecurity naturally call for multivariate analysis. Elaborating on recent theoretical developments on eigenvalue-based multivariate self-similarity analysis, this talk will provide evidence for multivariate self-similarity in 17 years of Internet traffic data from the MAWI repository and will discuss the potential use of multivariate self-similarity for low volume anomaly detection.

Biography:

Dr. Patrice Arby ompleted a PhD in Physics and Signal Processing, at Claude-Bernard University in Lyon in 1994. He is currently CNRS Senior Scientist, at Ecole Normale Supérieure de Lyon, Since 2020, P. Abry serves as Chair of the Rhône-Alps Complex System Institute www.ixxi.fr).

He also served as chair for the IEEE SPS Signal Processing Theory and Methods Committee in 2021-2022. His current research interests include wavelet-based analysis and modeling of statistical scale-free (selfsimilar and multifractal) dynamics.

Beyond theoretical developments and contributions in multifractal analysis and stochastic process design, Patrice Abry shows a strong interest into real-world applications, such as hydrodynamic turbulence, Internet traffic and cybersecurity, Heart Rate Variability, neurosciences, art investigations, and more recently pandemic intensity monitoring.

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