DocumentCode :
1628700
Title :
Detection of network buffer overflow attacks: A case study
Author :
Barabas, Maros ; Homoliak, Ivan ; Kacic, Matej ; Hanacek, Petr
Author_Institution :
Fac. of Inf. Technol., Brno Univ. of Technol., Brno, Czech Republic
fYear :
2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents an automated detection method based on classification of network traffic using predefined set of network metrics. We proposed the set of metrics with focus on behavior of buffer overflow attacks and their sufficient description without the need of deep packet inspection. In this paper we describe two laboratory experiments of automated detection of buffer overflow attacks on vulnerable network services and their description by proposed set of network metrics. We present the principles of several chosen network metrics and their application on experimental attacks according to their nature in comparison to valid communication.
Keywords :
computer network security; pattern classification; attack detection; deep packet inspection; network buffer overflow attacks; network metrics; network traffic classification; Approximation methods; Indexes; Measurement; buffer overflow; detection; ids; network metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology (ICCST), 2013 47th International Carnahan Conference on
Conference_Location :
Medellin
Type :
conf
DOI :
10.1109/CCST.2013.6922067
Filename :
6922067
Link To Document :
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