Research and Design of Optimal Solution for Network Traffic Anomaly based on Multi-objective Decision Algorithm. Issue 1 (1st February 2022)
- Record Type:
- Journal Article
- Title:
- Research and Design of Optimal Solution for Network Traffic Anomaly based on Multi-objective Decision Algorithm. Issue 1 (1st February 2022)
- Main Title:
- Research and Design of Optimal Solution for Network Traffic Anomaly based on Multi-objective Decision Algorithm
- Authors:
- Yan, Yiying
Dang, Yijie
Zhang, Shulin
Li, Yang
Li, Zhihong
Le, Xinyi
Yu, Haobo - Abstract:
- Abstract: To help maintainers recover from network outages caused by network traffic anomalies, the paper proposes an optimal solution for network traffic anomaly based on multi-objective decision algorithm. It is achieved by combining network traffic anomaly detection with multi-objective decision algorithm, while meeting the objectives of the shortest recovery time, the minimum reduction of security protection and the maximum consistency with the original mode.
- Is Part Of:
- Journal of physics. Volume 2170:Issue 1(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2170:Issue 1(2022)
- Issue Display:
- Volume 2170, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2170
- Issue:
- 1
- Issue Sort Value:
- 2022-2170-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2170/1/012016 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22009.xml