Sökning: "Packet Classification"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Packet Classification.
1. Generic Encrypted Traffic Identification using Network Grammar : A Case Study in Passive OS Fingerprinting
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : The increase in cybercrime and cyber-warfare has spurred the cat-and-mouse game of finding and attacking vulnerable devices on government or private company networks. The devices attacked are often forgotten computers that run operating systems with known exploits. LÄS MER
2. Evaluation of embedded processors for next generation asic : Evaluation of open source Risc-V processors and tools ability to perform packet processing operations compared to Arm Cortex M7 processors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Nowadays, network processors are an integral part of information technology. With the deployment of 5G network ramping up around the world, numerous new devices are going to take advantage of their processing power and programming flexibility. LÄS MER
3. Deep Learning-Based Traffic Classification for Network Penetration Testing
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : With the increasing amount of computers in society, the need to test and evaluate security of these are crucial to prevent various cyberattacks. During a penetration test, a common methodology to follow is OSSTMM. Sometimes this method can not be followed in whole. LÄS MER
4. A Concept for an Intrusion Detection System over Automotive Ethernet
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : A modern automotive vehicle is a complex technical system, containing many electronic, mechanical, and software parts. Typically, a high-end vehicle contains 70 or more electronic control units (ECUs) on average. LÄS MER
5. Machine learning based call drop healing in 5G
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Self-Organizing Network (SON) functions include self-configuration, dynamic optimization and self-healing of networks. In the era of 5G, mobile operators are increasingly exploring areas of SON through Machine Learning (ML) techniques. LÄS MER