Network traffic anomaly detection using PCA and BiGAN-Reference-Cited by-同舟云学术

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Network traffic anomaly detection using PCA and BiGAN

Published:2020-09-27 Issue:1 Volume:5 Page:
ISSN:2476-1508
Container-title:Internet Technology Letters
language:en
Short-container-title:Internet Technology Letters

Author:

Patil Rajlaxmi¹^ORCID,Biradar Rajshekhar²^ORCID,Ravi Vinayakumar³^ORCID,Biradar Poornima²,Ghosh Uttam⁴

Affiliation:

1. Department of Computer Science Dayananda Sagar University Bengaluru Karnataka India

2. Department of Computer Science International Institute of Information Technology Bangalore Bengaluru India

3. Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center Cincinnati OH

4. Department of EECS Vanderbilt University Nashville TN

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.235

Reference17 articles.

1. A visualized botnet detection system based deep learning for the internet of things networks of smart cities;Vinayakumar R;IEEE Trans Indus Appl,2020

2. Deep Learning Approach for Intelligent Intrusion Detection System

3. VinayakumarR SomanKP PoornachandranP. Applying convolutional neural network for network intrusion detection. In 2017 International Conference on Advances in Computing Communications and Informatics (ICACCI). IEEE;2017:1222‐1228.

4. Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

5. VinayakumarR SomanKP PoornachandranP. Evaluating effectiveness of shallow and deep networks to intrusion detection system. In 2017 International Conference on Advances in Computing Communications and Informatics (ICACCI) IEEE;2017:1282‐1289.

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1. Enhancing network intrusion detection performance using generative adversarial networks;Computers & Security;2024-10

2. An Optimal Modified Bidirectional Generative Adversarial Network for Security Authentication in Cloud Environment;Cybernetics and Systems;2024-06-10

3. DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

4. Principal Component Analysis and Deep Learning-Based Traffic Anomaly Detection in WSN;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

5. Comparative Analysis of Anomaly Detection Techniques Using Generative Adversarial Network;Sir Syed University Research Journal of Engineering & Technology;2023-12-29

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