Detection of Illegal Live Systems in Content Delivery Network

Student: Kurilenkov Aleksandr

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Year of Graduation: 2018

The master’s theses is dedicated to illegal streams detection system in content delivery network. The paper analyzes existing image recognition services and provides results of comparison between them by using manually-chosen 900 images. The detection method is based on convolutional neural networks and web service of Google Vision API. The result of development is the web application which will be used in content delivery network to detect illegal streams and help users to block them.

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