Research on Cloud Data Storage Security Privacy Protection System under Digital Campus

This paper proposes a digital campus cloud data storage security and privacy protection strategy under the Internet of Things environment. Campus users first apply for the attribute key from the trust center and then outsource the encrypted private data to the cloud server. The authorized user generates keyword traps through attribute keys. Only when the attributes of the authorized user meet the specified access control tree, the authorized user is allowed to search the cloud encrypted data through this trap door. A homomorphic encryption algorithm based on ECC is proposed based on the advantages of high security performance and low computational complexity. The algorithm is applied to cloud storage ciphertext processing and cloud computing data aggregation privacy protection. The results show that the scheme cannot only ensure the security of data storage but also protect the identity privacy of campus users.