Tag: malware detection

Researchers have built a hybrid malware detection framework combining abstract syntax trees, L-moments, graph analysis, and quantum-inspired neural networks that ...

Researchers enhanced the Harris Hawks Optimizer with Latin Hypercube Sampling and Gaussian crossover to cut memory-based malware features from 55 ...

Researchers have built a federated learning system that combines CKKS homomorphic encryption with blockchain storage, cutting adversarial attack success from ...