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Catching the Invisible: A Deep Learning Case Study in High-Velocity CDN Leeching and Piracy

This presentation examines the engineering of a detection system designed to identify CDN “leeching” attacks that closely mimic legitimate user traffic. We will walk through the technical transition from a synthetic “cold start” model to a refined LSTM-Autoencoder approach that achieved high precision in experimental trials. We’ll discuss the behavioral feature vectors — such as IP diversity and ASN hopping — and the architectural decisions required to flag distributed restreaming.

Speaker: Anand Vijayan, Product Lead, Media CDN, Google

Location: Streaming Summit

April 20, 2026