Securing Next-Gen Wireless Networks Against AI and Quantum Threats
A UT Dallas-led NSF-funded project is developing quantum-ready, AI-enabled security tools for next-generation cellular networks.
A UT Dallas-led NSF-funded project is developing quantum-ready, AI-enabled security tools for next-generation cellular networks.
Researchers have developed FireMID, a firefly-inspired framework that combines feature selection and oversampling to improve DDoS attack detection on imbalanced ...
A new study traces how the Digital BRICS initiative evolved from early cable proposals into a platform for South-South digital ...
A systematic review of 177 peer-reviewed studies synthesizes the shift from Industry 4.0 to human-centric, sustainable and resilient Industry 5.0 ...
A new explainable AI framework for network intrusion detection audited its semantic rule layer on held-out benchmark data, reporting high ...
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic preprocessing, achieved ...
A boosted Physics-Informed Neural Network with a hybrid Swish–ReLU activation reproduces the dynamics of a nonlinear SI1I2R computer-virus model with ...
Researchers argue that digitalizing and decentralizing electricity grids is a socio-technical transition requiring interdisciplinary study of technology, labor and grid ...
A new open access survey reviews AI methods for operating power grids with high penetration of distributed energy resources and ...
A new framework combines WHOIS, DNS, search engine and network path data into unified cyber intelligence profiles, achieving 90.11 percent ...
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© 2025 Scienmag - Science Magazine