An Effective Back Propagation Neural Network Architecture for the Development of an Efficient Anomaly Based Intrusion Detection System

Author:

Sen Nilanjan,Sen Rinku,Chattopadhyay Manojit

Publisher

IEEE

Cited by 11 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. DDoS Attack Detection Using Optimized Long Short-Term Memory Based on Improved Bacterial Foraging Optimization;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

2. Machine Learning and Deep Learning Architectures for Intrusion Detection System (IDS): A Survey;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

3. A Systematic Review of Machine Learning Techniques and Applications in Soil Improvement Using Green Materials;Sustainability;2023-06-19

4. A Cloud-Based Method for Detecting Intrusions in PROFINET Communication Networks Based on Anomaly Detection;Journal of Control, Automation and Electrical Systems;2021-06-22

5. Cascaded hybrid intrusion detection model based on SOM and RBF neural networks;Concurrency and Computation: Practice and Experience;2019-03-07

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