Towards HPC-Based Autonomous Cyber Security System

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F19%3A43900062" target="_blank" >RIV/60076658:12310/19:43900062 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21240/19:00335924

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8780108" target="_blank" >https://ieeexplore.ieee.org/document/8780108</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACITT.2019.8780108" target="_blank" >10.1109/ACITT.2019.8780108</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards HPC-Based Autonomous Cyber Security System

Popis výsledku v původním jazyce

Cyber security is the one of the most hot topics of nowadays. Millions of devices which daily communicate via the Internet are permanently under potential danger of many network attacks. The majority of such attacks is caused by various automatic bot nets or malicious cyber systems. Our research group has created an efficient autonomous architecture, which is able to collect information of the traffic from network devices, analyse it and detect an ongoing network attack. The automated AI based network administrator module is able to mitigate the aftermath of such malicious activity by execution of specific blocking action. Regarding to the volume of current network throughputs, our proposed solution is based on modern big data processing technologies, which allow to analyse the data flows of very large network infrastructures.

Název v anglickém jazyce

Towards HPC-Based Autonomous Cyber Security System

Popis výsledku anglicky

Cyber security is the one of the most hot topics of nowadays. Millions of devices which daily communicate via the Internet are permanently under potential danger of many network attacks. The majority of such attacks is caused by various automatic bot nets or malicious cyber systems. Our research group has created an efficient autonomous architecture, which is able to collect information of the traffic from network devices, analyse it and detect an ongoing network attack. The automated AI based network administrator module is able to mitigate the aftermath of such malicious activity by execution of specific blocking action. Regarding to the volume of current network throughputs, our proposed solution is based on modern big data processing technologies, which allow to analyse the data flows of very large network infrastructures.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

2019 9th International Conference on Advanced Computer Information Technologies, ACIT 2019 - Proceedings

ISBN

978-1-72810-449-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

435-438

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

New York

Místo konání akce

České Budějovice

Datum konání akce

5. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000502830500104