Title | Study on Invulnerability Assessment of Optical Backbone Networks Based on Complex Networks |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Xiong, Yipeng, Tan, Yuan, Zhou, Ming, Zeng, Guangjun, Chen, Zhe, Wang, Yanfeng |
Conference Name | 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) |
Keywords | Bandwidth, cloud computing, complex network, complex networks, Conferences, Damage Assessment, damage resistance assessment, Integrated optics, optical backbone network, pubcrawl, Resiliency, Resistance, Resists |
Abstract | Aiming at the working mechanism of optical backbone network, based on the theory of complex network, the invulnerability evaluation index of optical backbone network is extracted from the physical topology of optical backbone network and the degree of bandwidth satisfaction, finally, the invulnerability evaluation model of optical backbone network is established. At the same time, the evaluation model is verified and analyzed with specific cases, through the comparison of 4 types of attack, the results show that the number of deliberate point attacks ( DP) is 16.7% lower than that of random point attacks ( RP) when the critical collapse state of the network is reached, and the number of deliberate edge attacks ( DE) is at least 10.4% lower than that of random edge attacks ( RE). Therefore, evaluating the importance of nodes and edges and strengthening the protection of key nodes and edges can help optical network effectively resist external attacks and significantly improve the anti-damage ability of optical network, which provides theoretical support for the anti-damage evaluation of optical network and has certain practical significance for the upgrade and reconstruction of optical network. |
DOI | 10.1109/ICCCBDA51879.2021.9442604 |
Citation Key | xiong_study_2021 |