1 citations · 4 across the 14 of their papers we have counts for
6 papers · 1 filter
Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models
Hugo García Cuesta, Pablo Mateo Torrejón, Alfonso Sánchez-Macián
While Large Language Models (LLMs) have become essential productivity tools, their integration into workflows without adequate safeguards creates significant risks. This paper prop…
GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems
Pablo Mateo-Torrejón, Alfonso Sánchez-Macián
The rapid integration of Large Language Models (LLMs) into Multi-Agent Systems (MAS) has significantly enhanced their collaborative problem-solving capabilities, but it has also ex…
Design and Development of an Intelligent LLM-based LDAP Honeypot
Javier Jiménez-Román, Florina Almenares-Mendoza, Alfonso Sánchez-Macián
Cybersecurity threats continue to increase, with a growing number of previously unknown attacks each year targeting both large corporations and smaller entities. This scenario dema…
Evaluating Language Models For Threat Detection in IoT Security Logs
Jorge J. Tejero-Fernández, Alfonso Sánchez-Macián
Log analysis is a relevant research field in cybersecurity as they can provide a source of information for the detection of threats to networks and systems. This paper presents a p…
Adding web pentesting functionality to PTHelper
María Olivares-Naya, Jacobo Casado de Gracia, Alfonso Sánchez-Macián
Web application pentesting is a crucial component in the offensive cybersecurity area, whose aim is to safeguard web applications and web services as the majority of the web applic…
PTHelper: An open source tool to support the Penetration Testing process
Jacobo Casado de Gracia, Alfonso Sánchez-Macián
Offensive security is one of the state of the art measures to protect enterprises and organizations. Penetration testing, broadly called pentesting, is a branch of offensive securi…