| Title | Secure Coded Matrix Multiplication Against Cooperative Attack in Edge Computing |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhu, Luqi, Wang, Jin, Shi, Lianmin, Zhou, Jingya, Lu, Kejie, Wang, Jianping |
| Conference Name | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Date Published | dec |
| Keywords | composability, Computing Theory, Computing Theory and Privacy, Computing Theory and Trust, confidentiality, cooperative attack, data privacy, edge computing, encoding, heterogeneous networks, human factors, linear coding, privacy, pubcrawl, Resiliency, security, Servers, sufficient conditions, total cost, Trust |
| Abstract | 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. |
| DOI | 10.1109/TrustCom50675.2020.00079 |
| Citation Key | zhu_secure_2020 |
Secure Coded Matrix Multiplication Against Cooperative Attack in Edge Computing