Parameterizing poisoning attacks in federated learning-based intrusion detection Article Swipe

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Mohamed Amine Merzouk , Frédéric Cuppens , Nora Cuppens , Reda Yaich ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1145/3600160.3605090

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Backdoor Computer science Consistency (knowledge bases) Transparency (behavior) Intrusion detection system Computer security Intrusion Reliability (semiconductor) Artificial intelligence Physics Geochemistry Geology Power (physics) Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3600160.3605090
OA Status: green
Cited By: 5
References: 2
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OpenAlex ID: https://openalex.org/W4385713473

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OpenAlex ID: https://openalex.org/W4385713473

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DOI: https://doi.org/10.1145/3600160.3605090

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Title: Parameterizing poisoning attacks in federated learning-based intrusion detection

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-08-09

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Authors: Mohamed Amine Merzouk, Frédéric Cuppens, Nora Cuppens, Reda Yaich

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Landing page: https://doi.org/10.1145/3600160.3605090

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Concepts: Backdoor, Computer science, Consistency (knowledge bases), Transparency (behavior), Intrusion detection system, Computer security, Intrusion, Reliability (semiconductor), Artificial intelligence, Physics, Geochemistry, Geology, Power (physics), Quantum mechanics

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Cited by: 5

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