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Autorinnen/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
Seitenbereich:
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...     »
DOI:
10.1109/CyberC.2019.00080
Fakultät:
Fakultät für Informatik
Institut:
INF 4 - Institut für Angewandte Informatik
Professorin/Professor:
Karcher, Andreas
Open Access:
Nein / No
<u>Angaben zum Volltext</u>:

Volltext-Version:
Preprint
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