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- research-articleNovember 2024
Using LLM Embeddings with Similarity Search for Botnet TLS Certificate Detection
AISec '24: Proceedings of the 2024 Workshop on Artificial Intelligence and SecurityPages 173–183https://doi.org/10.1145/3689932.3694766Modern botnets leverage TLS encryption to mask C&C server communications. TLS certificates used by botnets could exhibit subtle characteristics that facilitate detection. In this paper we investigate whether text features from TLS certificates can be ...
- research-articleNovember 2024
When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS
AISec '24: Proceedings of the 2024 Workshop on Artificial Intelligence and SecurityPages 149–160https://doi.org/10.1145/3689932.3694757We scrutinize the effects of "blind'' adversarial perturbations against machine learning (ML)-based network intrusion detection systems (NIDS) affected by concept drift. There may be cases in which a real attacker -- unable to access and hence unaware ...
- proceedingNovember 2024
AISec '24: Proceedings of the 2024 Workshop on Artificial Intelligence and Security
It is our pleasure to welcome you to the 16th ACM Workshop on Artificial Intelligence and Security - AISec 2024. AISec, having been annually co-located with CCS for 17 consecutive years, is the premier meeting place for researchers interested in the ...