Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (10): 1393-1397.DOI: 10.12068/j.issn.1005-3026.2016.10.006

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Robustness of Interdependent Networks Under Grey Information Attacking

ZHU Qian, WANG Yi-fan, ZHU Zhi-liang, REN Tao   

  1. 1. School of Software, Northeastern University, Shenyang 110819, China; 2. School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2015-12-23 Revised:2015-12-23 Online:2016-10-15 Published:2016-10-14
  • Contact: ZHU Qian
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Abstract: The robustness of interdependent networks was researched under grey information attacking, in which the associated data-packet transport problem was discussed. A cascading failure model was established due to the traffic overload. The accuracy of the attacking information was controlled by using tunable parameter. The random failure and intentional attack were the two extreme situations of the proposed model. The robustness of the interdependent networks was studied under different network types and different coupling preferences. The simulation results verified that the robustness of interdependent networks can be intensified by decreasing the precision of attacking information, and there exists a critical phenomenon for the accuracy of the attacking information.

Key words: cascading failure, interdependent networks, robustness, grey information, attacking

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