Go With the Flow: Clustering Dynamically-Defined Netflow Features for Network Intrusion Detection with Dynids

AuthID
P-00V-6XG
3
Author(s)
Dias, L
·
Valente, S
·
3
Editor(s)
GkoulalasDivanis,A;Marchetti,M;Avresky,DR
Document Type
Proceedings Paper
Year published
2020
Published
in 2020 IEEE 19TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA) in IEEE International Symposium on Network Computing and Applications, ISSN: 2643-7910
Conference
Ieee 19Th International Symposium on Network Computing and Applications (Nca), Date: NOV 24-27, 2020, Location: ELECTR NETWORK, Sponsors: IEEE, IEEE Comp Soc, IEEE Comp Soc Tech Comm Distributed Proc, Massachusetts Inst Technol, Akamai Technologies Inc, IBM, Thomas J. Watson Res Ctr, IBM Watson Hlth, Cornell Univ, BBN Cambridge, Microsoft Res, CNRS, LAAS, Univ Tennessee, Natl Sci Fdn, DARPA, Cisco, Argonne Natl Lab, European Res Council, Univ Illinois Urbana Champaign, Int Res Inst Autonom Network Comp, Oakridge Natl Labs
Indexing
Publication Identifiers
Wos: WOS:000661912700035
Source Identifiers
ISSN: 2643-7910
Export Publication Metadata
Marked List
Info
At this moment we don't have any links to full text documens.