Quantum-Inspired Deep Learning Detects Cloud Intrusions with High Accuracy
A new integrated framework combining quantum-inspired optimization and deep learning achieves high accuracy in detecting diverse cyberattacks across major cloud ...
A new integrated framework combining quantum-inspired optimization and deep learning achieves high accuracy in detecting diverse cyberattacks across major cloud ...
A systematic review of 119 studies reveals how cryptomining malware has expanded from basic browser scripts into sophisticated, multi-vector threats ...
A dual-layer framework combining optimizer-guided XOR encryption with a probabilistic learning ensemble achieved 95.68 percent detection accuracy on healthcare cloud ...
A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...
A review of 413 reported automotive software vulnerabilities found that security weaknesses increasingly involve connected apps, websites and cloud services ...
University of British Columbia researchers have shown that hackers can disrupt water and energy infrastructure by analyzing encrypted traffic patterns ...
KAIST researchers have created a dual-state oxide transistor that combines long-term and short-term memory in a single device, enabling time-based ...
A new hybrid framework combines elliptic-curve cryptography with quantum-resistant algorithms to defend cloud infrastructure against DDoS attacks.
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine