Product Details
Sada klasifikačních modulů pro detekci bezpečnostních hrozeb
Created: 2023
English title
The collection of classification modules detecting security threats
Type
software
License
optional - optional free
Authors
Plný Richard (FIT CTU)
Luxemburk Jan (CESNET)
Hynek Karel, Ing. (CESNET)
Čejka Tomáš, Ing., Ph.D. (FIT CTU)
Šiška Pavel, Bc. (CESNET)
Koumar Josef (FIT CTU)
Jeřábek Kamil, Ing., Ph.D. (DIFS FIT BUT)
Luxemburk Jan (CESNET)
Hynek Karel, Ing. (CESNET)
Čejka Tomáš, Ing., Ph.D. (FIT CTU)
Šiška Pavel, Bc. (CESNET)
Koumar Josef (FIT CTU)
Jeřábek Kamil, Ing., Ph.D. (DIFS FIT BUT)
Keywords
Classification, machine learning, encrypted traffic, security threats
Description
This software presents production-ready encrypted traffic classifiers, that are using machine learning. The goal is to significantly improve the ability to classify encrypted network traffic, which is key to identifying security threats and increasing network situational awareness. The use of modern machine learning technologies brings new perspectives and effective tools for securing information systems against complex cyber threats. The designed software solution has the potential to improve the ability of organizations to identify and solve security incidents in real time.
Location
Projects
Flow-based Encrypted Traffic Analysis (VJ02010024)
Research groups
Departments