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20212026
most citedDesign and Development of an Intelligent LLM-based LDAP Honeypot

1 citations · 4 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.AI2024

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…

cs.CR2024

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…

cs.NI2024★ 1 cited

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…

cs.LG2024★ 1 cited

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…

cs.CR2024★ 1 cited

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…

cs.CV2024

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…