Performance evaluation of learning models for intrusion detection system using feature selection-Reference-Cited by-同舟云学术

Performance evaluation of learning models for intrusion detection system using feature selection

Published:2023-01-03 Issue:4 Volume:19 Page:529-548
ISSN:2263-8733
Container-title:Journal of Computer Virology and Hacking Techniques
language:en
Short-container-title:J Comput Virol Hack Tech

Author:

Kaushik Baijnath,Sharma Reya,Dhama Kulwant,Chadha Akshma^ORCID,Sharma Surbhi

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s11416-022-00460-z.pdf

Reference31 articles.

1. Sharma, S., Kaushik, B.: A survey on internet of vehicles: applications, security issues and solutions. Veh. Commun. 20, 100182 (2019)

2. Sharma, S., Kaul, A.: VANETs cloud: architecture, applications, challenges, and issues. Arch. Comput. Methods Eng. 28, 2081–2102 (2021)

3. Axelsson, S.: Research in intrusion-detection systems: a survey. Vol. 120. Technical report 98–17. Department of Computer Engineering, Chalmers University of Technology, (1998)

4. Bace, R.G., Mell, P.: Intrusion detection systems. 201 (2001).

5. Singh, S., Sharma, S., Sharma, S., Alfarraj, O., Yoon, B., Tolba, A.: Intrusion detection system based security mechanism for vehicular ad-hoc networks for industrial IoT. IEEE Consumer Electronics Magazine (2021).

Cited by 13 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. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

2. Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model;Applied Soft Computing;2024-10

3. Optimized Intrusion Detection for IoMT Networks with Tree-Based Machine Learning and Filter-Based Feature Selection;Sensors;2024-09-02

4. Towards optimized machine-learning-driven intrusion detection for Internet of Things applications;International Journal of Information Technology;2024-05-08

5. Robust Intrusion Detection Systems: Evaluating Classical and Ensemble Models with Chi-Square Feature Selection;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18