Sökning: "Deep packet inspection"

Visar resultat 6 - 10 av 14 uppsatser innehållade orden Deep packet inspection.

  1. 6. Flow Classification of Encrypted Traffic Streams using Multi-fractal Features

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Erik Areström; [2018]
    Nyckelord :;

    Sammanfattning : The increased usage of encrypted application layer traffic is making it harder for traditional traffic categorization methods like deep packet inspection to function. Without ways of categorizing traffic, network service providers have a hard time optimizing traffic flows, resulting in worse quality of experience for the end user. LÄS MER

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

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för kommunikationssystem

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

    Sammanfattning : 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). LÄS MER

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

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Simon Westlinder; [2016]
    Nyckelord :Supervised Machine Learning; SVM; Video traffic classification;

    Sammanfattning : 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. LÄS MER

  7. 10. Intrusion Detection and light weight Firewall for the 6LoWPAN networks

    Master-uppsats, KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Författare :Dharmini Shreenivas; [2014]
    Nyckelord :;

    Sammanfattning : IPv6 over Low power WPAN (6loWPAN) is an adaption layer introduced between the link layer and the network layer in the TCP/IP protocol stack to t the IPv6 datagrams over the IEEE 802.15.4 link layer. LÄS MER