Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Wolfgang Hotwagner"'
Publikováno v:
Digital Threats: Research and Practice. 4:1-16
Cyber attacks are omnipresent and their rapid detection is crucial for system security. Signature-based intrusion detection monitors systems for attack indicators and plays an important role in recognizing and preventing such attacks. Unfortunately,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5880b3d4509caf7ee92d94074edb02
https://doi.org/10.1145/3567675
https://doi.org/10.1145/3567675
Publikováno v:
QRS
Evaluations of intrusion detection systems (IDS) require log data sets collected in realistic system environments. Ex-isting testbeds therefore offer user simulations and attack scenarios that target specific use-cases. However, not only does the pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd713520bf413d715224764c93b1ddf
https://doi.org/10.1109/qrs51102.2020.00019
https://doi.org/10.1109/qrs51102.2020.00019
Autor:
Timea Pahi, Paul Smith, Lenhard Reuter, Manuel Warum, Maximilian Frank, Gregor Langner, Wolfgang Hotwagner, Oliver Maurhart, Maria Leitner, Florian Skopik
Publikováno v:
Proceedings of the European Interdisciplinary Cybersecurity Conference
EICC
EICC
With the evolution of threats and attacks and the speed of automation, new modern training and learning environments are needed to support the challenges of digital organizations and societies. In recent years, cyber ranges, i.e., virtual environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b80d92828f7d49bc491b429a4dd951
Publikováno v:
International Workshop on Big Data Analytics for Cyber Threat Hunting (CyberHunt 2019)
IEEE BigData
2019 IEEE International Conference on Big Data (Big Data)
IEEE BigData
2019 IEEE International Conference on Big Data (Big Data)
Intrusion Detection Systems (IDS) rely on the availability and correctness of Indicators of Compromise (IoC), i.e., artifacts such as IP addresses that are known to correspond to malicious system activities. However, the simple nature and limited val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72082e844193a8c1a002533372a8284e
Publikováno v:
IEEE Transactions on Reliability
Evaluations of intrusion detection systems (IDS) require log datasets collected in realistic system environments. Existing testbeds therefore offer user simulations and attack scenarios that target specific use-cases. However, not only does the prepa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7af1437caeab392866f18aa0b46060
Autor:
Max Landauer, Maximilian Frank, Florian Skopik, Wolfgang Hotwagner, Markus Wurzenberger, Andreas Rauber
Publikováno v:
Proceedings of the 2022 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf3993a647c881da37ea0feabd23ff09
