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Titel:

Generation of Tailored and Confined Datasets for IDS Evaluation in Cyber-Physical Systems

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Hutzelmann, Thomas; Mauksch, Dominik; Petrovska, Ana; Pretschner, Alexander
Abstract:
The state-of-the-art evaluation of an Intrusion Detection System (IDS) relies on benchmark datasets composed of the regular system’s and potential attackers’ behavior. The datasets are collected once and independently of the IDS under analysis. This paper questions this practice by introducing a methodology to elicit particularly challenging samples to benchmark a given IDS. In detail, we propose (1) six fitness functions quantifying the suitability of individual samples, particularly tailored f...     »
Stichworte:
Intrusion Detection Evaluation Problem; Benchmark Dataset; Methodology; Scenario-Based Optimization; Advanced Driver Assistance System; openpilot; Controller Area Network; Hardware in the Loop Simulation
Zeitschriftentitel:
IEEE Transactions on Dependable and Secure Computing
Jahr:
2023
Seitenangaben Beitrag:
1-15
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/tdsc.2023.3341211
Verlag / Institution:
Institute of Electrical and Electronics Engineers (IEEE)
E-ISSN:
1545-59711941-00182160-9209
Eingereicht (bei Zeitschrift):
17.02.2023
Angenommen (von Zeitschrift):
03.12.2023
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