Dynamic Pricing-Based Resilient Strategy Design for Cloud Control System Under Jamming Attack
Dynamic Pricing-Based Resilient Strategy Design for Cloud Control System Under Jamming Attack
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DOI：
10.1109/tsmc.2019.2952467
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Huanhuan Yuan;Yuanqing Xia;Min Lin;Hongjiu Yang;Runze Gao
中科院分区：
文献类型：
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作者：
Huanhuan Yuan;Yuanqing Xia;Min Lin;Hongjiu Yang;Runze Gao
研究了云控制系统在干扰攻击下的弹性策略设计问题。在存在干扰的情况下，信号（包括云服务器和物理设备之间的测量和控制输入）可能受到干扰，这降低了信号与干扰加噪声比，并进一步导致信号的丢包。采用Stackelberg博弈描述发射机和干扰机之间的相互作用。考虑到两个局中人的博弈均衡，设计了具有时变时滞的CCS控制器。提出了一种新的跨层动态定价机制，在信息受限和时变网络条件下，将CCS的干扰注意性能驱动到期望的区域。仿真结果验证了该方法的有效性。
In this article, resilient strategy design is investigated for a cloud control system (CCS) subject to jamming attack. In the presence of jammer, signals, including measurements and control inputs between cloud server and physical plant may be interfered, which degrades the signal-to-interference-plus-noise ratio and further leads to packet dropout of signals. A Stackelberg game is applied to depict the interaction of transmitter and jammer. On account of game equilibria of two players, controller is devised for CCS with time-varying delay. A novel cross-layer dynamic pricing mechanism is devised to drive the disturbance attention performance of CCS to a desired region under constrained information and time-varying networks. The simulation results are provided to verify the effectiveness of the proposed methodology.