1 citations · 4 across the 14 of their papers we have counts for
14 papers
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…
Bridging the 6G Gap: Scaling Sustainable ROADM-Based IP-over-WDM via DSCM-Enabled Point-to-Multipoint Designs
Matin Rafiei Forooshani, Farhad Arpanaei, Hamzeh Beyranvand +5
This study compares transponder-based, Point-to-Point, and DSCM-based Point-to-Multipoint (PtMP) access-metro architectures. Findings demonstrate that PtMP IPoWDM significantly opt…
SixGman: An Open-Source Planner for Fixed 6G Hierarchical Optical Access-Core Networks
Matin Rafiei Forooshani, Farhad Arpanaei, Hamzeh Beyranvand +4
This paper introduces SixGman, an open-source optical network planning tool for evaluating access-metro-core aggregation network architectures. The framework integrates traffic gen…
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…
Optimizing power by selective IP card shutdown using transport slicing
Alfonso Sánchez-Macián, Óscar González de Dios, José Alberto Hernández +5
The increasing energy demands of upcoming sixth-generation (6G) mobile networks and networks supporting AI applications pose significant challenges for network operators in terms o…
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…
Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide Using Concordia by Google DeepMind
Alejandro Leonardo García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +2
In social sciences, researchers often face challenges when conducting large-scale experiments, particularly due to the simulations' complexity and the lack of technical expertise r…
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…
DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Yiran Teng, Carlos Natalino, Farhad Arpanaei +4
We propose a DRL-assisted approach for service provisioning in multi-band elastic optical networks. Our simulation environment uses an accurate QoT estimator based on the GN/EGN mo…
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Alejandro L. García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +1
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its…
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…
Deepfake Detection and the Impact of Limited Computing Capabilities
Paloma Cantero-Arjona, Alfonso Sánchez-Macián
The rapid development of technologies and artificial intelligence makes deepfakes an increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of inf…
Approximate Membership Query Filters with a False Positive Free Set
Pedro Reviriego, Alfonso Sánchez-Macián, Stefan Walzer +1
In the last decade, significant efforts have been made to reduce the false positive rate of approximate membership checking structures. This has led to the development of new struc…