| Title | Support Forward Secure Smart Grid Data Deduplication and Deletion Mechanism |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Chen, Hao, Chen, Lin, Kuang, Xiaoyun, Xu, Aidong, Yang, Yiwei |
| Conference Name | 2021 2nd Asia Symposium on Signal Processing (ASSP) |
| Keywords | Big Data, cloud computing, cloud storage, data deletion, forward secure, privacy, pubcrawl, Resists, Safety, Scalability, Signal processing, Signal processing algorithms, Smart grids, Threshold Signature |
| Abstract | With the vigorous development of the Internet and the widespread popularity of smart devices, the amount of data it generates has also increased exponentially, which has also promoted the generation and development of cloud computing and big data. Given cloud computing and big data technology, cloud storage has become a good solution for people to store and manage data at this stage. However, when cloud storage manages and regulates massive amounts of data, its security issues have become increasingly prominent. Aiming at a series of security problems caused by a malicious user's illegal operation of cloud storage and the loss of all data, this paper proposes a threshold signature scheme that is signed by a private key composed of multiple users. When this method performs key operations of cloud storage, multiple people are required to sign, which effectively prevents a small number of malicious users from violating data operations. At the same time, the threshold signature method in this paper uses a double update factor algorithm. Even if the attacker obtains the key information at this stage, he can not calculate the complete key information before and after the time period, thus having the two-way security and greatly improving the security of the data in the cloud storage. |
| DOI | 10.1109/ASSP54407.2021.00019 |
| Citation Key | chen_support_2021 |
Support Forward Secure Smart Grid Data Deduplication and Deletion Mechanism