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Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems.

, , , , and . CORES/IP&C, volume 766 of Lecture Notes in Networks and Systems, page 45-53. Springer, (2023)

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The Methods and Approaches of Explainable Artificial Intelligence., , , and . ICCS (4), volume 12745 of Lecture Notes in Computer Science, page 3-17. Springer, (2021)How Explainable Is Explainability? Towards Better Metrics for Explainable AI., , , , and . RIIFORUM, page 685-695. Springer, (2023)Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models., , , , , and . DSAA, page 1-9. IEEE, (2023)The cybersecurity-related ethical issues of cloud technology and how to avoid them., , , , and . ARES, page 56:1-56:7. ACM, (2022)How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes., , , and . CISIM, volume 14164 of Lecture Notes in Computer Science, page 283-297. Springer, (2023)The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good., , and . Pers. Ubiquitous Comput., 25 (5): 843-852 (2021)First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions., , , and . Pers. Ubiquitous Comput., 27 (2): 193-202 (April 2023)Deep Learning for Combating Misinformation in Multicategorical Text Contents., , , , , and . Sensors, 23 (24): 9666 (December 2023)Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation., , , and . ISD, Risoprint / Association for Information Systems, (2022)Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar., , , and . RIIFORUM, page 31-38. Springer, (2022)