A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments
The ever expanding communication requirements in today’s world demand extensive and efficient network systems with equally efficient and reliable security features integrated for safe, confident, and secured communication and data transfer. Providing effective security protocols for any network envi...
Saved in:
Main Authors: | Aneetha Avalappampatty Sivasamy, Bose Sundan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/850153 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PCA mix‐based Hotelling's T2 multivariate control charts for intrusion detection system
by: Mo Shaohui, et al.
Published: (2022-05-01) -
Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments
by: Hui Chen, et al.
Published: (2025-01-01) -
Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature
by: Taotao LIU, et al.
Published: (2024-02-01) -
Intrusion detection method for IoT in heterogeneous environment
by: LIU Jing, et al.
Published: (2024-04-01) -
Using multivariate statistics /
by: Tabachnick, Barbara G., 1936-
Published: (2007)