Markov Augmented Neural Networks for Streaming Video Classification
Title | Markov Augmented Neural Networks for Streaming Video Classification |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Shaout, Adnan, Crispin, Brennan |
Conference Name | 2019 International Arab Conference on Information Technology (ACIT) |
Date Published | dec |
Publisher | IEEE |
ISBN Number | 978-1-7281-3010-1 |
Keywords | content providers, decision theory, deep packet inspection, deep packet inspection techniques, image classification, Inspection, Internet, internet providers, IP addresses, IP networks, machine learning, Markov augmented neural networks, Markov Decision Process, Markov processes, neural nets, Neural networks, port scanning, pubcrawl, resilience, Resiliency, Scalability, streaming video classification, telecommunication traffic, video signal processing, video streaming, video streaming services |
Abstract | With the growing number of streaming services, internet providers are increasingly needing to be able to identify the types of data and content providers that are being used on their networks. Traditional methods, such as IP and port scanning, are not always available for clients using VPNs or with providers using varying IP addresses. As such, in this paper we explore a potential method using neural networks and Markov Decision Process in order to augment deep packet inspection techniques in identifying the source and class of video streaming services. |
URL | https://ieeexplore.ieee.org/document/8991002 |
DOI | 10.1109/ACIT47987.2019.8991002 |
Citation Key | shaout_markov_2019 |
- Markov processes
- video streaming services
- video streaming
- video signal processing
- telecommunication traffic
- streaming video classification
- Scalability
- Resiliency
- resilience
- pubcrawl
- port scanning
- Neural networks
- neural nets
- content providers
- Markov Decision Process
- Markov augmented neural networks
- machine learning
- IP networks
- IP addresses
- internet providers
- internet
- Inspection
- image classification
- deep packet inspection techniques
- deep packet inspection
- decision theory