Design of Gaussian Similarity Measure for Network Anomaly Detection-Reference-Cited by-同舟云学术

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Design of Gaussian Similarity Measure for Network Anomaly Detection

Published:2021-04-05 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Data Science, E-learning and Information Systems 2021
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Author:

Nagaraja Arun¹,Boregowda Uma²,Vangipuram Radhakrishna³,Gunupudi Rajeshkumar³

Affiliation:

1. Jain University, India

2. Malnad College of Engineering, India

3. VNRVJIET, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460620.3460759

Reference96 articles.

1. [n.d.]. International Journal of Computer Science Issues - IJCSI. https://www.ijcsi.org/articles/Hybrid-approach-for-network-intrusion-detection-system-using-kmedoid-clustering-and-nave-bayes-classification.php [n.d.]. International Journal of Computer Science Issues - IJCSI. https://www.ijcsi.org/articles/Hybrid-approach-for-network-intrusion-detection-system-using-kmedoid-clustering-and-nave-bayes-classification.php

2. Decision tree based light weight intrusion detection using a wrapper approach;Expert Systems with Applications,2012

Cited by 1 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. KL-ML: A Mimicry Based Network Anomaly Detection Using Machine Learning and Divergence Measures;IOT with Smart Systems;2023

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