Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
International Conference on Information Systems Security and Privacy, 2018 : With exponential growth in the size of computer networks and developed applications, the significant in-creasing of the potential damage that can be caused by launching attacks is becoming obvious.
Iman Sharafaldin +2 more
semanticscholar +1 more source
HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
Applied Sciences, 2023 Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad-ul-Haq Qazi +2 more
semanticscholar +1 more source
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
IEEE Access, 2017 Intrusion detection plays an important role in ensuring information security, and the key technology is to accurately identify various attacks in the network.
Chuanlong Yin +3 more
semanticscholar +1 more source
Graph Neural Networks for Intrusion Detection: A Survey
IEEE Access, 2023 Cyberattacks represent an ever-growing threat that has become a real priority for most organizations. Attackers use sophisticated attack scenarios to deceive defense systems in order to access private data or cause harm.
Tristan Bilot +3 more
semanticscholar +1 more source
A Deep Learning Approach for Network Intrusion Detection System
EAI Endorsed Trans. Security Safety, 2016 A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches in their organizations. However, many challenges arise while developing a flexible and efficient NIDS for unforeseen and unpredictable ...
A. Javaid +3 more
semanticscholar +1 more source
Caracterización del contenido de metales de la fracción PM PM10 y evaluación del riesgo sobre la salud en un emplazamiento urbano de Elche [PDF]
, 2020 En este estudio se han tomado muestras de PM10 mediante un captador situado en el centro urbano de Elche y se ha determinado el contenido de metales de las mismas.
Clemente María, Álvaro
core
Niveles de carbono orgánico soluble asociado al material particulado atmosférico en la ciudad de Elche [PDF]
, 2023 Entre octubre de 2022 y marzo de 2023 se recogieron un total de 121 muestras diarias de PM1 y PM10 en el centro urbano de Elche. Las muestras fueron analizadas para determinar el contenido de carbono elemental, carbono orgánico y carbono orgánico ...
García Gálvez, Álvaro
core
Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
Applied Sciences, 2019 Networks play important roles in modern life, and cyber security has become a vital research area. An intrusion detection system (IDS) which is an important cyber security technique, monitors the state of software and hardware running in the network ...
Hongyu Liu, Bo Lang
semanticscholar +1 more source
Anomaly-based intrusion detection system for IoT networks through deep learning model
Computers & electrical engineering, 2022 : The Internet of Things (IoT) idea has been developed to enhance people's lives by delivering a diverse range of smart interconnected devices and applications in several domains.
T. Saba +4 more
semanticscholar +1 more source
Catálogo-guía de fenómenos meteorológicos adversos que afectan a la isla de Gran Canaria [PDF]
, 2018 En esta publicación se describen los fenómenos meteorológicos adversos que afectan a la isla de Gran Canaria, identificándose los patrones de circulación atmosférica asociados o potencialmente generadores y detallándose sus características climáticas en ...
Fernández Monistrol, José Antonio +2 more
core +1 more source