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Stream-wise Detection of Surreptitious Traffic over DNS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F14%3A00222722" target="_blank" >RIV/68407700:21240/14:00222722 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CAMAD.2014.7033254" target="_blank" >http://dx.doi.org/10.1109/CAMAD.2014.7033254</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CAMAD.2014.7033254" target="_blank" >10.1109/CAMAD.2014.7033254</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stream-wise Detection of Surreptitious Traffic over DNS

  • Original language description

    The Domain Name System (DNS) belongs to crucial services in a computer network. Because of its importance, DNS is usually allowed in security policies. That opens a way to break policies and to transfer data from/to restricted area due to misusage of a DNS infrastructure. This paper is focused on a detection of communication tunnels and other anomalies in a DNS traffic. The proposed detection module is designed to process huge volume of data and to detect anomalies at near real-time. It is based on combination of statistical analysis of several observed features including application layer information. Our aim is a stream-wise processing of huge volume of DNS data from backbone networks. To achieve these objectives with minimal resource consumption, the detection module uses efficient extended data structures. The performance evaluation has shown that the detector is able to process approximately 511 thousand DNS flow records per second. In addition, according to experiments, a tunnel

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) (CAMAD 2014)

  • ISBN

    978-1-4799-5726-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    300-304

  • Publisher name

    IEEE Communications Society

  • Place of publication

    Pomona, California

  • Event location

    Athens

  • Event date

    Dec 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article