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%2F63839172%3A_____%2F14%3A10130411" target="_blank" >RIV/63839172:_____/14:10130411 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7033254" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2010005" target="_blank" >LM2010005: Large Infrastructure CESNET</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
978-1-4799-5725-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
300-304
Publisher name
IEEE Communications Society
Place of publication
Pomona, California, USA
Event location
Athens
Event date
Dec 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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