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Sensors 2017, 17(3), 553;

A Novel Topology Link-Controlling Approach for Active Defense of Nodes in Networks

1,2,* , 1
School of Automation, Huazhong University of Science and Technology, Wuhan 430070, China
Department of Computer Science, Hubei University of Technology, Wuhan 430070, China
Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA
Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK 74464, USA
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 10 December 2016 / Revised: 23 February 2017 / Accepted: 3 March 2017 / Published: 9 March 2017
(This article belongs to the Special Issue Topology Control in Emerging Sensor Networks)
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With the rapid development of virtual machine technology and cloud computing, distributed denial of service (DDoS) attacks, or some peak traffic, poses a great threat to the security of the network. In this paper, a novel topology link control technique and mitigation attacks in real-time environments is proposed. Firstly, a non-invasive method of deploying virtual sensors in the nodes is built, which uses the resource manager of each monitored node as a sensor. Secondly, a general topology-controlling approach of resisting the tolerant invasion is proposed. In the proposed approach, a prediction model is constructed by using copula functions for predicting the peak of a resource through another resource. The result of prediction determines whether or not to initiate the active defense. Finally, a minority game with incomplete strategy is employed to suppress attack flows and improve the permeability of the normal flows. The simulation results show that the proposed approach is very effective in protecting nodes. View Full-Text
Keywords: link-controlling; copula; resource protection; minority game link-controlling; copula; resource protection; minority game

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Li, J.; Hu, H.; Ke, Q.; Xiong, N. A Novel Topology Link-Controlling Approach for Active Defense of Nodes in Networks. Sensors 2017, 17, 553.

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