A study on intrusion detection using neural networks trained with evolutionary algorithms

Author:

Dash Tirtharaj

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Cited by 68 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. HDA-IDS: A Hybrid DoS Attacks Intrusion Detection System for IoT by using semi-supervised CL-GAN;Expert Systems with Applications;2024-03

2. Automatic design of machine learning via evolutionary computation: A survey;Applied Soft Computing;2023-08

3. The Construction of a Fire Monitoring System Based on Multi-Sensor and Neural Network;International Journal of Information Technologies and Systems Approach;2023-07-20

4. A Study on the Efficiency of Intrusion Detection Systems in IoT Networks;2023 International Conference on Computer, Information and Telecommunication Systems (CITS);2023-07-10

5. Improved Smart Computation Methods for Digital Networking System Penetration Prevention Systems: A Review;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

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