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MIDAS: A Multi-chain Interoperable Data and Access System for Healthcare.

, , , , and . CSoNet, volume 14479 of Lecture Notes in Computer Science, page 313-322. Springer, (2023)

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A Secure and Privacy Preserving Federated Learning Approach for IoT Intrusion Detection System., , , and . NSS, volume 13041 of Lecture Notes in Computer Science, page 353-368. Springer, (2021)Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense., , , and . NSS, volume 13041 of Lecture Notes in Computer Science, page 131-147. Springer, (2021)Federated Learning-Based Cyber Threat Hunting for APT Attack Detection in SDN-Enabled Networks., , , and . ISCIT, page 1-6. IEEE, (2022)XFedGraph-Hunter: An Interpretable Federated Learning Framework for Hunting Advanced Persistent Threat in Provenance Graph., , , and . ISPEC, volume 14341 of Lecture Notes in Computer Science, page 546-561. Springer, (2023)A Method of Mutating Windows Malwares using Reinforcement Learning with Functionality Preservation., , , , , and . SoICT, page 142-149. ACM, (2022)A federated threat hunting system with big data analysis for SDN-enabled networks., , , , and . RIVF, page 35-40. IEEE, (2022)Strengthening IDS against Evasion Attacks with GAN-based Adversarial Samples in SDN-enabled network., , , , and . RIVF, page 1-6. IEEE, (2021)A Deep Transfer Learning Approach for Flow-Based Intrusion Detection in SDN-Enabled Network., , , , , , and . SoMeT, volume 337 of Frontiers in Artificial Intelligence and Applications, page 327-339. IOS Press, (2021)MalDEX: An Explainable Malware Detection System Based on Ensemble Learning., , , and . MAPR, page 1-6. IEEE, (2023)On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors., , , , , and . MAPR, page 1-6. IEEE, (2023)