Detailed Information on Publication Record

@inproceedings{16738,
   author = {Jirsík, Tomáš and Čeleda, Pavel},
   address = {Heidelberg},
   booktitle = {Advances in Communication Networking, Lecture Notes in Computer Science, Vol. 8846},
   keywords = {OS fingerprinting; passive; high-throughput; p0f; flow},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Heidelberg},
   isbn = {978-3-319-13487-1},
   pages = {70-73},
   publisher = {Springer International Publishing},
   title = {Identifying Operating System Using Flow-based Traffic Fingerprinting},
   url = {http://dx.doi.org/10.1007/978-3-319-13488-8_7},
   year = {2014}
}

TY  - JOUR
ID  - 16738
AU  - Jirsík, Tomáš - Čeleda, Pavel
PY  - 2014
TI  - Identifying Operating System Using Flow-based Traffic Fingerprinting
PB  - Springer International Publishing
CY  - Heidelberg
SN  - 9783319134871
KW  - OS fingerprinting
KW  - passive
KW  - high-throughput
KW  - p0f
KW  - flow
UR  - http://dx.doi.org/10.1007/978-3-319-13488-8_7
N2  - Many vulnerabilities are operating system specific. Information about the OS of all hosts in a network represents a valuable asset for network administrators. While OS detection in small networks is an easy task, expanding the same process on a large scale becomes a challenge. The weak performance, high speed traffic and large amount of hosts for OS detection are issues to overcome. In this paper we propose a flow based framework for large scale OS detection. Furthermore, we describe the framework implementation into a flow probe, provide performance comparison and share remarks on deployment in a real world network.
ER  - 

JIRSÍK, Tomáš and Pavel ČELEDA. Identifying Operating System Using Flow-based Traffic Fingerprinting. In \textit{Advances in Communication Networking, Lecture Notes in Computer Science, Vol. 8846}. Heidelberg: Springer International Publishing, 2014, p.~70-73. ISBN~978-3-319-13487-1.