Enhancing Cyber Resilience Through Traffic Generation Patterns in Complex Networks: A Study on Cascading Failures
Network resilience is the capacity of a network to maintain and restore its fundamental operations during or after a failure. This paper investigates the resilience of communication networks with heterogeneous nodes, with host nodes that generate and receive packets and routers that only forward pac...
Saved in:
| Main Authors: | B. Aymar Le Pere Tchimwa, Jean-Pierre Lienou, Wilson Ejuh Geh, Frederica Nelson, Sachin Shetty, Charles Kamhoua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10746862/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Method to generate cyber deception traffic based on adversarial sample
by: Yongjin HU, et al.
Published: (2020-09-01) -
Method to generate cyber deception traffic based on adversarial sample
by: Yongjin HU, et al.
Published: (2020-09-01) -
Enhanced anomaly traffic detection framework using BiGAN and contrastive learning
by: Haoran Yu, et al.
Published: (2024-11-01) -
Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights
by: Filippo Genuario, et al.
Published: (2024-11-01) -
KPI-Based Evaluation Framework for Cyber Resilience of Ships
by: Areum Ko, et al.
Published: (2025-01-01)