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Listar por palabra clave "Intrusion detection"

Mostrando ítems 1-8 de 8

A GRU deep learning system against attacks in software defined networks

Assis, Marcos V.O.; Carvalho, Luiz F.; Lloret, Jaime; Proença Jr, Mario L. (Elsevier, 2021-03-01)

[EN] The management of modern network environments is becoming more and more complex due to new requirements of devices' heterogeneity regarding the popularization of the Internet of Things (IoT), as well as the dynamic ...
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

Lopez-Martin, Manuel; Carro, Belén; Sánchez-Esguevillas, Antonio; Lloret, Jaime (MDPI AG, 2017)

[EN] The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host's network. In current networks, such systems are becoming more important as the ...
Generative adversarial networks to detect intrusion and anomaly in IP flow-based networks

Ruffo, Vitor G. da Silva; Lent, Daniel M. Brandão; Carvalho, Luiz F.; Lloret, Jaime; Proença Jr, Mario Lemes (Elsevier, 2025-02)

[EN] Computer networks facilitate regular human tasks, providing services like data streaming, online shopping, and digital communications. These applications require more and more network capacity and dynamicity to ...
Implementación y Evaluación de Sistemas IDS/IPS para mejorar la Ciberseguridad en Entornos Industriales

Corbella Alcántara, Valentino (Universitat Politècnica de València, 2024-10-10)

[ES] Este trabajo, centrado en la mejora de la ciberseguridad en entornos industriales, aborda la implementación de sistemas NIDS/NIPS (Sistemas de Detección y Prevención de Intrusiones en Redes). En primer lugar, se analiza ...
Intrusion Detection and Security Mechanisms for Wireless Sensor Networks

Khan, S.; Lloret, Jaime; Loo, Jonathan (Hindawi Publishing Corporation, 2014)
RT-MOVICAB-IDS: Addressing Real-Time Intrusion Detection

Herrero, Álvaro; Navarro Llácer, Martín; Corchado, Emilio; Julian Inglada, Vicente Javier (Elsevier, 2013-01)

[EN] This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICABIDS that incorporates temporal control. One of its main goals is to facilitate real-time Intrusion Detection, as ...
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

Lopez-Martin, Manuel; Carro, Belén; Sánchez-Esguevillas, Antonio; Lloret, Jaime (Elsevier, 2019-06-15)

[EN] Intrusion detection and network traffic classification are two of the main research applications of machine learning to highly demanding data networks e.g. IoT/sensors networks. These applications present new prediction ...
Vehicular Network Intrusion Detection Using a Cascaded Deep Learning Approach with Multi-Variant Metaheuristic

Manderna, Ankit; Kumar, Sushil; Dohare, Upasana; Aljaidi, Mohammad; Kaiwartya, Omprakash; Lloret, Jaime (MDPI AG, 2023-11)

[EN] Vehicle malfunctions have a direct impact on both human and road safety, making vehicle network security an important and critical challenge. Vehicular ad hoc networks (VANETs) have grown to be indispensable in recent ...