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A multi-measure feature selection algorithm for efficacious intrusion detection

  • Published:2021-09 Issue: Volume:227 Page:107264
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Herrera-Semenets VitaliORCID,Bustio-Martínez Lázaro,Hernández-León Raudel,van den Berg Jan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference56 articles.

1. Tracing of online assaults in 5G networks using dominance based rough set and formal concept analysis;Acharjya;Peer-To-Peer Network. Appl.,2021

2. The internet of things;Cisco,2020

3. Global cybercrime damages predicted to reach $6 trillon annually by 2021;Ventures,2020

4. Ciberseguros: Estos son los sectores más expuestos a un ataque de hackers;Gestión,2017

5. Computer and Network Security Essentials;Francia,2018

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1. A Network Intrusion Detection Method Based on Bagging Ensemble;Symmetry;2024-07-05

2. Emerging Trends in the Application of Machine Learning in Network Intrusion Detection Systems;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

3. Research on Intrusion Detection Based on an Enhanced Random Forest Algorithm;Applied Sciences;2024-01-15

4. Optimizing Smart Home Intrusion Detection with Harmony-Enhanced Extra Trees;2024

5. Intrusion Detection System for IoT Networks;2023 1st International Conference on Optimization Techniques for Learning (ICOTL);2023-12-07
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