Distributed Denial of Service Attack Detection using Naïve Bayes and K-Nearest Neighbor for Network Forensics-Reference-Cited by-同舟云学术

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Distributed Denial of Service Attack Detection using Naïve Bayes and K-Nearest Neighbor for Network Forensics

Published:2020-03 Issue: Volume: Page:
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Container-title:2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Kachavimath Amit V,Nazare Shubhangeni Vijay,Akki Sheetal S

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9057352/9074834/09074929.pdf?arnumber=9074929

Cited by 23 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. Comparative Analysis of Cybersecurity Datasets in Industrial Control Systems;2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT);2024-05-29

2. Using Machine Learning Techniques to Simulate Network Intrusion Detection;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. Edge Perception Temporal Data Anomaly Detection Method Based on BiLSTM-Attention in Smart City Big Data Environment;Journal of Circuits, Systems and Computers;2024-02-22

4. Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution;IET Information Security;2024-01

5. Investigating DDOS attacks on metro network;AIP Conference Proceedings;2024

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