Cloud Native Data Platform for Network Telemetry and Analytics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F21%3A00120063" target="_blank" >RIV/00216224:14610/21:00120063 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.23919/CNSM52442.2021.9615568" target="_blank" >http://dx.doi.org/10.23919/CNSM52442.2021.9615568</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/CNSM52442.2021.9615568" target="_blank" >10.23919/CNSM52442.2021.9615568</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cloud Native Data Platform for Network Telemetry and Analytics

Popis výsledku v původním jazyce

In this manuscript, we present a prototype of a modular data platform that is able to continuously ingest, process, retain, and analyse large amounts of network telemetry data in a scalable and straightforward manner. It follows a recently proposed Data Lakehouse architectural pattern, which is an evolution of two well-known approaches used in this area -- data warehouses and data lakes. The platform is based on open standards and open-source components, and it follows cloud native principles in order to be able to run in modern computing environments such as public, private, and hybrid clouds. The primary focus of the prototype is network telemetry and analytics over traffic flows and infrastructure logs for the purposes of cyber-security digital forensics and incident response. During the demonstration part, we will further describe internal workings of the presented data platform and showcase its capabilities and possible applications on a public dataset.

Název v anglickém jazyce

Cloud Native Data Platform for Network Telemetry and Analytics

Popis výsledku anglicky

In this manuscript, we present a prototype of a modular data platform that is able to continuously ingest, process, retain, and analyse large amounts of network telemetry data in a scalable and straightforward manner. It follows a recently proposed Data Lakehouse architectural pattern, which is an evolution of two well-known approaches used in this area -- data warehouses and data lakes. The platform is based on open standards and open-source components, and it follows cloud native principles in order to be able to run in modern computing environments such as public, private, and hybrid clouds. The primary focus of the prototype is network telemetry and analytics over traffic flows and infrastructure logs for the purposes of cyber-security digital forensics and incident response. During the demonstration part, we will further describe internal workings of the presented data platform and showcase its capabilities and possible applications on a public dataset.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/VI20202022164" target="_blank" >VI20202022164: Pokročilá orchestrace bezpečnosti a inteligentní řízení hrozeb</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

17th International Conference on Network and Service Management

ISBN

9783903176362

ISSN

—

e-ISSN

—

Počet stran výsledku

3

Strana od-do

394-396

Název nakladatele

IFIP Open Digital Library, IEEE Xplore

Místo vydání

Izmir, Turkey (Virtual)

Místo konání akce

Izmir, Turkey (Virtual)

Datum konání akce

1. 1. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000836226700063