CORTEXA
← Browse

Manuel Fernández-Veiga

3 papers indexed

arxivcs.LGcs.CR2026-07-02

Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

Xavier Martínez-Luaña, Alba Gude-Santos, Manuel Fernández-Veiga, Rebeca P. Díaz-Redondo

Distributed machine learning enables collaborative model training without centralizing data, but it also exposes learning processes to privacy leakage and malicious manipulation. Existing defenses typically address these threats in isolation and are often tailored to specific lea…

View free PDFSource page
crossrefAI2025-09-21Cited by 1

Improving Remote Access Trojans Detection: A Comprehensive Approach Using Machine Learning and Hybrid Feature Engineering

AlsharifHasan Mohamad Aburbeian, Manuel Fernández-Veiga, Ahmad Hasasneh

Remote Access Trojans (RATs) pose a serious cybersecurity risk due to their stealthy control over compromised systems. This study presents a detection framework that integrates host, network, and newly engineered behavioral features to enhance the identification of RATs. Two sets…

View free PDFSource page
crossrefAI2024-01-10Cited by 54

Secure Internet Financial Transactions: A Framework Integrating Multi-Factor Authentication and Machine Learning

AlsharifHasan Mohamad Aburbeian, Manuel Fernández-Veiga

Securing online financial transactions has become a critical concern in an era where financial services are becoming more and more digital. The transition to digital platforms for conducting daily transactions exposed customers to possible risks from cybercriminals. This study pr…

View free PDFSource page