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Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms.

, and . Comput. Electr. Eng., (2022)

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Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms., and . Comput. Electr. Eng., (2022)Forensic-Ready Risk Management Concepts., , , , , and . CoRR, (2022)Frustrations Steering Women Away From Software Engineering., and . IEEE Softw., 39 (4): 63-69 (2022)Adopting the Actor Model for Antifragile Serverless Architectures., , , and . ICSOFT, page 612-619. SCITEPRESS, (2023)AI-Based Software Defect Prediction for Trustworthy Android Apps., , and . EASE, page 393-398. ACM, (2022)Recent Advances in Machine-Learning Driven Intrusion Detection in Transportation: Survey., and . ANT/EDI40, volume 184 of Procedia Computer Science, page 877-886. Elsevier, (2021)Predictive Simulation within the Process of Building Trust., , and . ICSA Companion, page 47-48. IEEE, (2022)A hybrid machine learning model for intrusion detection in VANET., , and . Computing, 104 (3): 503-531 (2022)Overview of Research Challenges towards Smart Grid Quality by Design., , and . FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 1497-1504. (2014)A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture., , , , , and . CAiSE, volume 13901 of Lecture Notes in Computer Science, page 522-538. Springer, (2023)