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Autoren:
Passarelli, Sandro; Gündogan, Cem; Stiemert, Lars; Schopp, Matthias; Hillmann, Peter 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
NERD: Neural Network for Edict of Risky Data Streams 
Titel Konferenzpublikation:
Proceedings 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery 
Konferenztitel:
International Conference on Cyber-enabled distributed computing an knowledge discovery (11., 2019, Guilin) 
Tagungsort:
Guilin, China 
Jahr der Konferenz:
2019 
Datum Beginn der Konferenz:
17.10.2019 
Datum Ende der Konferenz:
19.10.2019 
Verlagsort:
Piscataway, N.J. 
Verlag:
IEEE 
Jahr:
2019 
Seiten von - bis:
428-435 
Sprache:
Englisch 
Stichwörter:
Artifical Intelligence ; Cybersecurity 
Abstract:
Cyber incidents can have a wide range of cause from a simple connection loss to an insistent attack. Once a potential cyber security incidents and system failures have been identified, deciding how to proceed is often complex. Especially, if the real cause is not directly in detail determinable. Therefore, we developed the concept of a Cyber Incident Handling Support System. The developed system is enriched with information by multiple sources such as intrusion detection systems and monitoring...    »
 
Fakultät:
Fakultät für Informatik 
Institut:
INF 4 - Institut für Angewandte Informatik 
Professur:
Karcher, Andreas 
Open Access ja oder nein?:
Nein / No 
Angaben zum Volltext:

 
Volltext-Version:
Preprint