Steffen Haas
Steffen Haas
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GAC: graph-based alert correlation for the detection of distributed multi-step attacks
S Haas, M Fischer
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 979-988, 2018
On the alert correlation process for the detection of multi-step attacks and a graph-based realization
S Haas, M Fischer
ACM SIGAPP Applied Computing Review 19 (1), 5-19, 2019
zeek-osquery: Host-Network Correlation for Advanced Monitoring and Intrusion Detection
S Haas, R Sommer, M Fischer
IFIP International Conference on ICT Systems Security and Privacy Protection, 2020
On the resilience of P2P-based botnet graphs
S Haas, S Karuppayah, S Manickam, M Mühlhäuser, M Fischer
2016 IEEE Conference on Communications and Network Security (CNS), 225-233, 2016
Multi-Stage Attack Detection via Kill Chain State Machines
F Wilkens, F Ortmann, S Haas, M Vallentin, M Fischer
Proceedings of the 3rd Workshop on Cyber-Security Arms Race, 13-24, 2021
BoobyTrap: On autonomously detecting and characterizing crawlers in P2P botnets
S Karuppayah, E Vasilomanolakis, S Haas, M Mühlhäuser, M Fischer
2016 IEEE International Conference on Communications (ICC), 1-7, 2016
Efficient Attack Correlation and Identification of Attack Scenarios based on Network-Motifs
S Haas, F Wilkens, M Fischer
2019 IEEE 38th International Performance Computing and Communications …, 2019
Towards Efficient Reconstruction of Attacker Lateral Movement
F Wilkens, S Haas, D Kaaser, P Kling, M Fischer
Proceedings of the 14th International Conference on Availability …, 2019
Scan Correlation–Revealing distributed scan campaigns
S Haas, F Wilkens, M Fischer
NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2020
On the Robustness of Random Walk Algorithms for the Detection of Unstructured P2P Botnets
D Muhs, S Haas, T Strufe, M Fischer
2018 11th International Conference on IT Security Incident Management & IT …, 2018
Security Monitoring and Alert Correlation for Network Intrusion Detection
S Haas
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
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