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2020-05-08
Ali, Yasir, Shen, Zhen, Zhu, Fenghua, Xiong, Gang, Chen, Shichao, Xia, Yuanqing, Wang, Fei-Yue.  2018.  Solutions Verification for Cloud-Based Networked Control System using Karush-Kuhn-Tucker Conditions. 2018 Chinese Automation Congress (CAC). :1385—1389.
The rapid development of the Cloud Computing Technologies (CCTs) has amended the conventional design of resource-constrained Network Control System (NCS) to the powerful and flexible design of Cloud-Based Networked Control System (CB-NCS) by relocating the processing part to the cloud server. This arrangement has produced many internets based exquisite applications. However, this new arrangement has also raised many network security challenges for the cloud-based control system related to cyber-physical part of the system. In the absence of robust verification methodology, an attacker can launch the modification attack in order to destabilize or take control of NCS. It is desirable that there shall be a solution authentication methodology used to verify whether the incoming solutions are coming from the cloud or not. This paper proposes a methodology used for the verification of the receiving solution to the local control system from the cloud using Karush-Kuhn-Tucker (KKT) conditions, which is then applied to actuator after verification and thus ensure the stability in case of modification attack.