AI can help improve network security. From better attacks to better defenses

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00380887" target="_blank" >RIV/68407700:21230/24:00380887 - isvavai.cz</a>

Výsledek na webu

<a href="https://cnsm-conf.org/2024/timetable.html" target="_blank" >https://cnsm-conf.org/2024/timetable.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

AI can help improve network security. From better attacks to better defenses

Popis výsledku v původním jazyce

For many years machine learning help optimized resources in network management. It then help to better plan network topologies, bandwidth control, BGP routes, and finally security. Although security defenses is implemented in servers and devices, much of the attacks are simulated and conducted in the network. With the advent of LLMs much technology was dedicated to better explain, to better understand and validate routers configurations, graph analysis, and lately to help the incident responders. However, in security LLMs have a much needed role: to produce better attacks, to produce better detections and to produce better humans.

Název v anglickém jazyce

AI can help improve network security. From better attacks to better defenses

Popis výsledku anglicky

For many years machine learning help optimized resources in network management. It then help to better plan network topologies, bandwidth control, BGP routes, and finally security. Although security defenses is implemented in servers and devices, much of the attacks are simulated and conducted in the network. With the advent of LLMs much technology was dedicated to better explain, to better understand and validate routers configurations, graph analysis, and lately to help the incident responders. However, in security LLMs have a much needed role: to produce better attacks, to produce better detections and to produce better humans.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů