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Toward Stream-Based IP Flow Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F17%3A00094364" target="_blank" >RIV/00216224:14610/17:00094364 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7981527/" target="_blank" >https://ieeexplore.ieee.org/document/7981527/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MCOM.2017.1600972" target="_blank" >10.1109/MCOM.2017.1600972</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Toward Stream-Based IP Flow Analysis

  • Original language description

    Analyzing IP flows is an essential part of traffic measurement for cyber security. Based on information from IP flows, it is possible to discover the majority of concurrent cyber threats in highspeed, large-scale networks. Some major prevailing challenges for IP flow analysis include, but are not limited to, analysis over a large volume of IP flows, scalability issues, and detecting cyber threats in real time. In this article, we discuss the transformation of present IP flow analysis into a stream-based approach to face current challenges in IP flow analysis. We examine the possible positive and negative impacts of the transformation and present examples of real-world applications, along with our recommendations. Our ongoing results show that stream-based IP flow analysis successfully meets the above-mentioned challenges and is suitable for achieving real-time network security analysis and situational awareness.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

    <a href="/en/project/TA04010062" target="_blank" >TA04010062: Technology for processing and analysis of network data in big data concept</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Communications Magazine

  • ISSN

    0163-6804

  • e-ISSN

  • Volume of the periodical

    55

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

    70-76

  • UT code for WoS article

    000405724800011

  • EID of the result in the Scopus database

    2-s2.0-85028385478