Research On Dynamic Searchable Symmetric Encryption Schemes In Cloud Environments

With the breakneck growth of cloud computing and the rapid change of the Internet,users in academia and industry will outsource their local private data to cloud servers for storage.However,data outsourcing will bring the problem of privacy information leakage.People choose to encrypt their data after outsourcing to the cloud,but prevent users from searching the encrypted database stored in the cloud.Dynamic Searchable Symmetric Encryption(DSSE)supports keyword search and update of encrypted data stored on cloud servers without decrypting the corresponding plaintext.However,most existing DSSE schemes with forward privacy support only single keyword queries? in practice,cloud servers may return forged or non-protocol compliant search results to users to reduce computational overhead.In this paper,we have studied the diversity in terms of functionality and efficiency in terms of performance,and specific work and contributions are summarized as follows.1.DSSE with forward privacy.Symmetric Searchable Encryption(SSE)allows users to search on encrypted databases while protecting the privacy of data and queries.To enable updates on encrypted databases,DSSE enables clients to perform updates and searches on encrypted databases has proposed.To protect it from update leakage,this paper uses a state-based chained data structure to make it impossible for the server to obtain specific information about the next search token,thus achieving forward privacy.Security analysis demonstrates that it achieves adaptive security within the definition of leak functions? it also has viable applicability in E-health systems.2.DSSE supporting verifiable and conjunctive keyword queries.As cloud servers are not fully trusted,i.e.they may return falsified search results,it makes sense to verify the returned search results.To refine the above scheme to enable verification of search results,this paper proposes a DSSE scheme that supports the verification of search results,it satisfies forward and backward privacy,while being verifiable and supporting conjunctive keyword queries.Performance analysis shows that it achieves a sub-linear search time in conjunctive keyword queries? experimental results demonstrates that it is highly efficient in terms of search time and update time.