A Novel Load Capacity Model with a Tunable Proportion of Load Redistribution against Cascading Failures. (7th June 2018)

• Record Type: Journal Article
• Authors: Zhang, Zhen-Hao; Song, Yurong; Xia, Lingling; Li, Yin-Wei; Zhang, Liang; Jiang, Guo-Ping
• Other Names: Yang Lu-Xing Academic Editor.
• Is Part Of: Security and communication networks. Volume 2018(2018)
• Publication Date: 2018-06-07
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2018/6254876
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : Defence against cascading failures is of great theoretical and practical significance. A novel load capacity model with a tunable proportion is proposed. We take degree and clustering coefficient into account to redistribute the loads of broken nodes. The redistribution is local, where the loads of broken nodes are allocated to their nearest neighbours. Our model has been applied on artificial networks as well as two real networks. Simulation results show that networks get more vulnerable and sensitive to intentional attacks along with the decrease of average degree. In addition, the critical threshold from collapse to intact states is affected by the tunable parameter. We can adjust the tunable parameter to get the optimal critical threshold and make the systems more robust against cascading failures.