Essays about: "Encrypted video traffic classification"

Found 5 essays containing the words Encrypted video traffic classification.

1. 1. Classification of Video Traffic : An Evaluation of Video Traffic Classification using Random Forests and Gradient Boosted Trees

   University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Author : Ricky Andersson; [2017]
   Keywords : Machine Learning; Video Traffic Classification; Random Forest; Gradient Boosted Trees; Gradient Boosted Machine;

   Abstract : Traffic classification is important for Internet providers and other organizations to solve some critical network management problems.The most common methods for traffic classification is Deep Packet Inspection (DPI) and port based classification. READ MORE

3. 2. Video Flow Classification : A Runtime Performance Study

   University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Author : Filip Västlund; [2017]
   Keywords : Traffic classification; Network traffic; Machine learning; Code optimization; Video traffic classification;

   Abstract : Due to it being increasingly common that users' data is encrypted, the Internet service providers today find it difficult to adapt their service for the users' needs. Previously popular methods of classifying users data does not work as well today and new alternatives is therefore desired to give the users an optimal experience. READ MORE

4. 3. Monitoring of Video Streaming Quality from Encrypted Network Traffic : The Case of YouTube Streaming

   University essay from Blekinge Tekniska Högskola/Institutionen för kommunikationssystem

   Author : Abiy Biru Chebudie; [2016]
   Keywords : Quality of Experience; Machine Learning; Encrypted video traffic classification; Video Streaming Quality;

   Abstract : The video streaming applications contribute to a major share of the Internet traffic. Consequently, monitoring and management of video streaming quality has gained a significant importance in the recent years. The disturbances in the video, such as, amount of buffering and bitrate adaptations affect user Quality of Experience (QoE). READ MORE

5. 4. Video Traffic Classification : A Machine Learning approach with Packet Based Features using Support Vector Machine

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Simon Westlinder; [2016]
   Keywords : Supervised Machine Learning; SVM; Video traffic classification;

   Abstract : Internet traffic classification is an important field which several stakeholders are dependent on for a number of different reasons. Internet Service Providers (ISPs) and network operators benefit from knowing what type of traffic that propagates over their network in order to correctly treat different applications. READ MORE

6. 5. Video Flow Classification : Feature Based Classification Using the Tree-based Approach

   University essay from Karlstads universitet

   Author : Henrik Johansson; [2016]
   Keywords : Machine learning; Flow classification; video;

   Abstract : This dissertation describes a study which aims to classify video flows from Internet network traffic. In this study, classification is done based on the characteristics of the flow, which includes features such as payload sizes and inter-arrival time. READ MORE