Expert-Derived Risk Matrix Turns Building Sensor Alarms into Five-Level Security Grades
A new study in Architectural Research presents a five-level physical security risk matrix that fuses video analytics, access control, and ...
A new study in Architectural Research presents a five-level physical security risk matrix that fuses video analytics, access control, and ...
A new special issue of Data Science and Engineering collects eleven peer-reviewed papers on data spaces, data governance, and data-driven ...
A new decentralized zero-knowledge protocol, VeriPriv, enables users to prove possession of attributes such as studentship or auditor status without ...
Interviews with 15 cybersecurity experts in three sectors produced a framework linking insider-threat risks to awareness, access, employee motives, organizational ...
A Paillier-CKKS framework encrypted federated-learning updates and reached 94.67% average accuracy on Medical-MNIST during simulated reverse-engineering attacks.
Researchers in India have developed a lattice-based multi-authority encryption scheme that resists quantum attacks while enabling efficient attribute revocation for ...
Researchers have developed a revocable, time-based attribute-based encryption scheme for cloud-assisted IoT that cuts encryption and decryption times while saving ...
University of Arizona researchers have developed a formal-methods approach that automatically encodes microservice source code into a constraint model, enabling ...
Researchers have unveiled STAR-OV, a framework that protects deep learning models deployed on satellites through two-stage reversible parameter encryption, tiered ...
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© 2025 Scienmag - Science Magazine