DocumentCode :
2778775
Title :
Assessing network vulnerability under probabilistic region failure model
Author :
Wang, Xiaoliang ; Jiang, Xiaohong ; Pattavina, Achille
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
fYear :
2011
fDate :
4-6 July 2011
Firstpage :
164
Lastpage :
170
Abstract :
The mission critical network infrastructures are facing potential large region threats, both intentional (like EMP attack, bomb explosion) and natural (like earthquake, flooding). The available research on region failure related vulnerability studies generally adopt a kind of simple “deterministic” region failure models, which can not capture some important features of real region failure scenarios, where a network component in the region only fails with certain probability, and more importantly, such failure probability tends to vary with both its dimension and its distance to failure center. In this paper, we provide a more general “probabilistic” region failure model to capture the key features of a region failure and apply it for the network vulnerability assessment. To facilitate such assessment, we adopt a grid partition-based scheme to estimate various statistical network metrics under a random region failure. A theoretical framework is also established to determine a suitable grid partition such that a specified estimation error requirement is satisfied. The grid partition technique is also useful for identifying the vulnerable zones of a network, which can guide network designers to initiate proper network protection against such failures. The work in this paper helps us more deeply understand the network vulnerability behavior under region failure and facilitates the design and maintenance of future highly survivable mission critical networks.
Keywords :
failure analysis; probability; telecommunication network planning; telecommunication network reliability; critical network infrastructures; grid partition technique; network vulnerability assessment; probabilistic region failure model; random region failure; statistical network metrics; Capacity planning; Estimation; Joining processes; Measurement; Probabilistic logic; Routing; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Switching and Routing (HPSR), 2011 IEEE 12th International Conference on
Conference_Location :
Cartagena
Print_ISBN :
978-1-4244-8454-6
Electronic_ISBN :
978-1-4244-8455-3
Type :
conf
DOI :
10.1109/HPSR.2011.5986021
Filename :
5986021
Link To Document :
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