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2021-06-01
Zhu, Luqi, Wang, Jin, Shi, Lianmin, Zhou, Jingya, Lu, Kejie, Wang, Jianping.  2020.  Secure Coded Matrix Multiplication Against Cooperative Attack in Edge Computing. 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). :547–556.
In recent years, the computation security of edge computing has been raised as a major concern since the edge devices are often distributed on the edge of the network, less trustworthy than cloud servers and have limited storage/ computation/ communication resources. Recently, coded computing has been proposed to protect the confidentiality of computing data under edge device's independent attack and minimize the total cost (resource consumption) of edge system. In this paper, for the cooperative attack, we design an efficient scheme to ensure the information-theory security (ITS) of user's data and further reduce the total cost of edge system. Specifically, we take matrix multiplication as an example, which is an important module appeared in many application operations. Moreover, we theoretically analyze the necessary and sufficient conditions for the existence of feasible scheme, prove the security and decodeability of the proposed scheme. We also prove the effectiveness of the proposed scheme through considerable simulation experiments. Compared with the existing schemes, the proposed scheme further reduces the total cost of edge system. The experiments also show a trade-off between storage and communication.
2020-04-24
Jianfeng, Dai, Jian, Qiu, Jing, Wu, Xuesong, Wang.  2019.  A Vulnerability Assessment Method of Cyber Physical Power System Considering Power-Grid Infrastructures Failure. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). :1492—1496.
In order to protect power grid network, the security assessment techniques which include both cyber side and the physical side should be considered. In this paper, we present a method for evaluating the dynamic vulnerability of cyber-physical power system (CPPS) considering the power grid infrastructures failure. First, according to the functional characteristics of different components, the impact of a single component function failure on CPPS operation is analyzed and quantified, such as information components, communication components and power components; then, the dynamic vulnerability of multiple components synchronization function failure is calculated, and the full probability evaluation formula of CPPS operational dynamic vulnerability is built; Thirdly, from an attacker's perspective to identify the most hazardous component combinations for CPPS multi-node collaborative attack; Finally, a local CPPS model is established based on the IEEE-9 bus system to quantify its operational dynamic vulnerability, and the effectiveness of proposed method is verified.