Sökning: "internettrafik"
Visar resultat 1 - 5 av 15 uppsatser innehållade ordet internettrafik.
1. Hur upplevd videokvalitet påverkas av upplösning och bitrate
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Streaming is currently the main method used to watch videos, and with this a significant portion of all Internet traffic is occupied by streaming. In order to efficiently store and transfer this large quantity of data, compression is necessary for the streaming services. LÄS MER
2. Evaluating Different Genetic Algorithms for a State-machine Combining Assignment Problem
Master-uppsats, Karlstads universitetSammanfattning : Deep packet inspection (DPI) is useful as a tool for analyzing internet traffic. Regular expressions (regexps) can be used to detect the network traffic patterns that the DPI is able to identify. LÄS MER
3. Innehållsfiltrering i svenska grundskolor
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : Innehållsfiltrering av internettrafik har kommit upp till diskussion i olika sammanhang sedan de första skolorna kopplade upp sig. Men frågan är hur arbetet med detta ser ut inom svenska grundskolor. LÄS MER
4. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. LÄS MER
5. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic
Master-uppsats, KTH/Matematisk statistikSammanfattning : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. LÄS MER