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Detecting critical nodes for network vulnerability assessment under cascading failures


Citation

Hu, Shi Ming and Chou, Jung Te and Liu, Bing Hong and Chu, Shao I and Perumal, Thinagaran and Pham, Van Trung (2017) Detecting critical nodes for network vulnerability assessment under cascading failures. In: International Conference on System Science and Engineering 2017 (ICSSE 2017), 21-23 July 2017, Ho Chi Minh City, Vietnam. (pp. 542-545).

Abstract

Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical in the real attacks. In this paper, we study the problem of attacking nodes in networks to maximize the total profits of attacked nodes, where the total cost of attacks is remained under the budget. In addition, an algorithm is proposed to solve problem of attacking nodes in the network with limited budget while guaranteeing the high total profits of attacked nodes. Simulation results show that the proposed method provides good performance.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/ICSSE.2017.8030933
Publisher: IEEE
Keywords: Cascading failure; Power grid; Limited budget; Maximum profit
Depositing User: Nabilah Mustapa
Date Deposited: 07 Mar 2018 01:46
Last Modified: 07 Mar 2018 01:46
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICSSE.2017.8030933
URI: http://psasir.upm.edu.my/id/eprint/59478
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