ČELEDA, Pavel, Petr VELAN, Benjamin KRÁL and Ondřej KOZÁK. Enabling SSH Protocol Visibility in Flow Monitoring. Online. In 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM). Washington DC, USA: IEEE, 2019, p. 569-574. ISBN 978-1-72810-618-2.
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Basic information
Original name Enabling SSH Protocol Visibility in Flow Monitoring
Authors ČELEDA, Pavel (203 Czech Republic, guarantor, belonging to the institution), Petr VELAN (203 Czech Republic, belonging to the institution), Benjamin KRÁL (203 Czech Republic, belonging to the institution) and Ondřej KOZÁK (203 Czech Republic).
Edition Washington DC, USA, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), p. 569-574, 6 pp. 2019.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL URL
RIV identification code RIV/00216224:14610/19:00109436
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-1-72810-618-2
ISSN 1573-0077
UT WoS 000469937200100
Keywords in English SSH; flow; monitoring; network; dataset
Links EF16_019/0000822, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/9/2020 23:49.
Abstract
The network flow monitoring has evolved to collect information beyond the network and transport layers, most importantly the application layer information. This information is used to improve network security and performance by enabling more precise performance analysis and intrusion detection. In this paper, we contribute to this effort by extending flow monitoring with information from the SSH protocol. Firstly, we analyze the SSH protocol to determine which information can be obtained from the connection establishment phase. Based on the analysis, we create an extension to our flow monitoring infrastructure that allows obtaining the selected information. Lastly, we analyze the SSH connections observed in the university campus network and discuss the benefits of performing the detailed SSH protocol analysis. We argue that with a precise recognition of login attempt results it is possible to improve the detection of successful brute-force password attacks. Moreover, we publish an anonymized version of our dataset including the SSH specific information.
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