A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques-Reference-Cited by-同舟云学术

A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques

Published:2021-02-14 Issue: Volume: Page:1-11
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Singh Geeta¹^ORCID,Khare Neelu²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2021.1885150

Reference74 articles.

1. Measuring intrusion detection capability

2. The base-rate fallacy and the difficulty of intrusion detection

3. Gartner Survey. Newsroom. 2019. [cited 2019 Jan 23]. Available from: https://www.gartner.com/en/newsroom/press-releases/2019-01-23-gartner-survey-finds-government-cios-to-focus-technol.

4. Network attacks: Taxonomy, tools and systems

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FlowTransformer: A transformer framework for flow-based network intrusion detection systems;Expert Systems with Applications;2024-05

2. A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs;Sir Syed University Research Journal of Engineering & Technology;2024-01-01

3. Malware cyberattacks detection using a novel feature selection method based on a modified whale optimization algorithm;Wireless Networks;2023-12-21

4. Particle Swarm Optimization of Deep Auto-Encoder Network Architectures for Anomaly-based Intrusion Detection Systems;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

5. ML-Based Intrusion Detection Systems in IoT Networks: A Survey;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21