SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks. [PDF]
Sci RepAlqazzaz A.
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Explainable attention based few shot LSTM for intrusion detection in imbalanced cyber physical system networks. [PDF]
Sci RepAbdulganiyu OH +6 more
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FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]
Sci RepSheta AN +4 more
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Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]
Sci RepAlmuflih AS.
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Data -based methods for cyber -attack detection
Aquest projecte explora mètodes basats en dades per detectar ciberatacs, específicament atacs de repetició, en Sistemes Ciberfísics (CPS). Els CPS integren components físics i computacionals per monitoritzar i controlar processos físics, que s'estan integrant cada cop més en infraestructures crítiques.
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Privacy-preserving cyberthreat detection in decentralized social media with federated cross-modal graph transformers. [PDF]
Sci RepPremkumar D, Nachimuthu SK.
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A Framework for Budget-Constrained Zero-Day Cyber Threat Mitigation: A Knowledge-Guided Reinforcement Learning Approach. [PDF]
Sensors (Basel)Basak M, Shin GY.
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A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles. [PDF]
PLoS OneKibriya H +5 more
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Cyber attack detection in power state estimation
Cyber attack detection in power state estimationidentifier:oai:t2r2.star.titech.ac.jp ...
openaire
Towards Optimal Sensor Placement for Cybersecurity: An Extensible Model for Defensive Cybersecurity Sensor Placement Evaluation. [PDF]
Sensors (Basel)Wagner N, Damodaran SK, Reavey M.
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