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Threat Detection Through Correlation of Network Flows and Logs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00106899" target="_blank" >RIV/00216224:14610/18:00106899 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aims-conference.org/2018/AIMS-2018-Proceedings.pdf" target="_blank" >http://www.aims-conference.org/2018/AIMS-2018-Proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Threat Detection Through Correlation of Network Flows and Logs

  • Original language description

    A rising amount of mutually interconnected and communicating devices puts increasing demands on cybersecurity operators and their tools. With the rise of end-to-end encryption, it is becoming increasingly difficult to detect threats in network traffic. With such motivation, this Ph.D. proposal aims to find new methods for automatic detection of threats hiding in encrypted channels. The focus of the proposal is on correlating the data still available in the encrypted network flows with the data contained in the logs of network applications. Our research is in the initial phase and will contribute to a Ph.D. thesis in four years.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    <a href="/en/project/VI20172020070" target="_blank" >VI20172020070: Research of Tools for Cyber Situational Awareness and Decision Support of CSIRT Teams in Protection of Critical Infrastructure</a><br>

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 12th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2018)

  • ISBN

    9783903176126

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    6-10

  • Publisher name

    IFIP

  • Place of publication

    Neuveden

  • Event location

    Munich

  • Event date

    Jun 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article