Author

Josep Prieto-Blázquez

3 papers indexed here

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Open access Sep 2026

Metamorphic Malware Detection via Graph-Augmented Neural Semantics and Adversarial Hardening: A Comprehensive Framework

Background: Metamorphic malware is among the most persistent adversarial challenges in cybersecurity: it rewrites its own instruction stream on every propagation, preserving functional semantics while presenting a syntactically distinct binary that defeats signature-based and many learning-based detectors. Methods: We...

Víctor Manuel González-Gorrín, Josep Prieto-Blázquez · Journal of Cybersecurity and... · 0 citations

Open access Aug 2026

A transport-layer cryptographic framework secures inter-agent communication and verdict provenance in multi-agent malware detection pipelines

Multi-agent AI systems have emerged as a promising approach for metamorphic malware detection, combining large language model (LLM) reasoning with specialized static, dynamic, and similarity-analysis tools. The cryptographic security of the supporting infrastructure – inter-agent channels, agent identities, and sig...

Víctor Manuel González-Gorrín, Josep Prieto-Blázquez · Scientific Reports · 1 citation

Review Open access Aug 2026

Machine intelligence approaches for preventing adversarial malware attacks in intrusion detection systems: A systematic review

This systematic literature review provides a rigorous, transparent, and reproducible foundation for knowledge by synthesizing all available evidence on IDSs over recent years by highlighting the differences, strengths, and shortcomings from each MI-IDS approach.

Víctor Manuel González-Gorrín, Josep Prieto-Blázquez · Progress in Artificial Intel... · 0 citations