Hybrid Feature Selection Boosts IoT DDoS Detection Accuracy
A new hybrid feature selection framework combining Particle Swarm Optimization and Grey Wolf Optimizer achieves high accuracy in detecting IoT ...
A new hybrid feature selection framework combining Particle Swarm Optimization and Grey Wolf Optimizer achieves high accuracy in detecting IoT ...
A new study presents HPQ-EAI-IDS, a unified intrusion detection system for IoT networks that combines explainable AI, post-quantum security, and ...
Researchers have proposed IBFS, a PKG-managed framework that adds authenticated identity binding and traceability to the compact post-quantum signature scheme ...
A PRISMA-based systematic review of 43 studies published between 2016 and 2025 classifies energy-efficient routing protocols for agricultural wireless sensor ...
Most intrusion detection research is tested on artificially balanced datasets, where attack and benign records appear in equal numbers. A ...
Researchers have developed two control-optimized AES-128 hardware architectures that cut logic utilization by up to 94.2 percent and power consumption ...
A new distributed intrusion detection system uses machine learning, blockchain and collaborating fog nodes, with reported zero-day F1-score rising from ...
Researchers have developed a 117-practice readiness index, validated by an expert panel and a case study, to assess cybersecurity preparedness ...
A new decentralized zero-knowledge protocol, VeriPriv, enables users to prove possession of attributes such as studentship or auditor status without ...
A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer vision, and ...
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© 2026 Scienmag - Science Magazine