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Distributed Detection of APTs: Consensus vs. Clustering.

, , , , and . ESORICS (1), volume 12308 of Lecture Notes in Computer Science, page 174-192. Springer, (2020)

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Analysis of Cybersecurity Threats in Industry 4.0: The Case of Intrusion Detection., , and . CRITIS, volume 10707 of Lecture Notes in Computer Science, page 119-130. Springer, (2017)Access control for cyber-physical systems interconnected to the cloud., and . Comput. Networks, (2018)Recommender system for privacy-preserving solutions in smart metering., , and . Pervasive Mob. Comput., (2017)Digital Twins for Intelligent Authorization in the B5G-Enabled Smart Grid., , and . IEEE Wirel. Commun., 28 (2): 48-55 (2021)Integration of a Threat Traceability Solution in the Industrial Internet of Things., , and . IEEE Trans. Ind. Informatics, 16 (10): 6575-6583 (2020)Enhancing Security and Dependability of Industrial Networks with Opinion Dynamics., , , and . ESORICS (2), volume 11736 of Lecture Notes in Computer Science, page 263-280. Springer, (2019)Distributed Detection of APTs: Consensus vs. Clustering., , , , and . ESORICS (1), volume 12308 of Lecture Notes in Computer Science, page 174-192. Springer, (2020)Tracking Advanced Persistent Threats in Critical Infrastructures Through Opinion Dynamics., , , and . ESORICS (1), volume 11098 of Lecture Notes in Computer Science, page 555-574. Springer, (2018)Blockchain-assisted access for federated Smart Grid domains: Coupling and features., , and . J. Parallel Distributed Comput., (2020)Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems., , and . CRITIS, volume 10242 of Lecture Notes in Computer Science, page 176-188. Springer, (2016)