CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12453 > Article
Paper
28 October 2022 Intrusion detection based on deep belief network and stacking method
JiaBao Wang, XiangHua Miao, Xiang Li
Author Affiliations +
Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 1245302 (2022) https://doi.org/10.1117/12.2659296
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China
Abstract
After data preprocessing, the feature dimension of NSL-KDD dataset increases from 42 dimensions to 122 dimensions. High dimensional data will make it more difficult for the model to learn the characteristics of the data, and there will be a lot of redundant data in the data set. Therefore, this paper uses the deep belief network to reduce the dimension of the characteristics of the intrusion detection data set after data preprocessing, and uses the stacking algorithm as the classifier to construct the intrusion detection model. Through comparative experiments, it is proved that the model has good performance in the four evaluation indexes of accuracy, precision, recall and F1 score, and effectively improves the performance of intrusion detection model.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
JiaBao Wang, XiangHua Miao, and Xiang Li "Intrusion detection based on deep belief network and stacking method", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 1245302 (28 October 2022); https://doi.org/10.1117/12.2659296
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer intrusion detection
Networks
Feature extraction
Network security
Performance modeling
Neural networks
Systems modeling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top