Blockchain and Federated Learning Join Forces to Shield Connected Cars From Cyberattacks
A new blockchain-enabled federated learning framework called IoV BCFL+ detects intrusions across connected vehicle networks with over 96 percent accuracy ...
A new blockchain-enabled federated learning framework called IoV BCFL+ detects intrusions across connected vehicle networks with over 96 percent accuracy ...
Researchers have developed an order-preserving framework based on intuitionistic fuzzy soft sets, order-isomorphism, and topological sorting that improves the accuracy ...
Florida International University will install a full-stack trapped-ion quantum computer, becoming the first in the state to acquire such advanced ...
A new systematic review in Artificial Intelligence Review maps how multi-objective optimization algorithms are being used to balance accuracy, false ...
Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...
Researchers at Sapienza University of Rome have built AirSign, a VR authentication system that verifies users by recognizing three-dimensional signatures ...
Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...
A Nature Food Perspective drawing on a workshop series of more than 150 stakeholders proposes a land-grant university-led Agricultural Cybersecurity ...
Researchers in Vietnam have developed a Dual SPLIR epidemic-style model that incorporates APT dormancy, network heterogeneity, and organizational policy to ...
Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...
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© 2025 Scienmag - Science Magazine