Hybrid Explainable Intrusion Detection System: Global vs. Local Approach
Author:
Affiliation:
1. National Institute of Information and Communications Technology, Tokyo, Japan
2. National Taiwan University, Taipei, Taiwan Roc
3. National Applied Research Laboratories, Taipei, Taiwan Roc
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3605772.3624004
Reference20 articles.
1. AAG IT Service . 2023 . The latest 2023 cyber crime statistics (updated may 2023) . Retrieved May 10, 2023 from http://https://aag-it.com/the-latest-cybercrime-statistics/. AAG IT Service. 2023. The latest 2023 cyber crime statistics (updated may 2023). Retrieved May 10, 2023 from http://https://aag-it.com/the-latest-cybercrime-statistics/.
2. An Explainable Deep Neural Framework for Trustworthy Network Intrusion Detection
3. A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets
4. Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
5. An Explainable Machine Learning Framework for Intrusion Detection Systems
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