Luis Javier García Villalba

Associate professor

Universidad Complutense de Madrid

Spain

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About

Dr. Luis Javier García Villalba is an Associate Professor at Universidad Complutense de Madrid, Spain. His research focuses on sustainability within pension systems, vulnerability in software through innovative methodologies, and advanced approaches to network security. His recent publications explore topics including reinforcement learning, identity protection in anonymous communication networks, and eco-efficiency in agriculture.

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Collaborators (3)

Ana Lucila Sandoval Orozco

Universidad Complutense de Madrid

SPAIN

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Elena Almaraz Luengo

Universidad Complutense de Madrid Facultad de Ciencias Matemáticas

SPAIN

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Darren Hurley-Smith

Lecturer

Royal Holloway, University of London

UNITED KINGDOM

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Luis Javier García Villalba

Research Interests

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About

Articles (22)

A Microsimulation Model for Sustainability and Detailed Adequacy Analysis of the Retirement Pension System

Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning

Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems

Trust Evaluation Techniques for 6G Networks: A Comprehensive Survey with Fuzzy Algorithm Approach

Bootstrap Method of Eco-Efficiency in the Brazilian Agricultural Industry

Mapping of data breaches in companies listed on the NYSE and NASDAQ: Insights and implications

Understanding Data Breach from a Global Perspective: Incident Visualization and Data Protection Law Review

Natural Language Processing Applied to Forensics Information Extraction With Transformers and Graph Visualization

Threading Statistical Disclosure Attack with EM: An Algorithm for Revealing Identity in Anonymous Communication Networks

A Secure Approach Out-of-Band for e-Bank with Visual Two-Factor Authorization Protocol

Ontology Development for Asset Concealment Investigation: A Methodological Approach and Case Study in Asset Recovery

Further analysis of the statistical independence of the NIST SP 800-22 randomness tests

A multi-channel approach for detecting tampering in colour filter images

Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?

Cybersecurity Analysis of Wearable Devices: Smartwatches Passive Attack

Learning Strategies for Sensitive Content Detection

StringENT test suite: ENT battery revisited for efficient P value computation

Analysis of Machine Learning Techniques for Information Classification in Mobile Applications

Analysis of Digital Information in Storage Devices Using Supervised and Unsupervised Natural Language Processing Techniques

Agency theory: Forecasting agent remuneration at insurance companies

ReinforSec: An Automatic Generator of Synthetic Malware Samples and Denial-of-Service Attacks through Reinforcement Learning

Exploration of Metrics and Datasets to Assess the Fidelity of Images Generated by Generative Adversarial Networks

Collaborators (3)

Ana Lucila Sandoval Orozco

Elena Almaraz Luengo

Darren Hurley-Smith

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