Visible to the public Research and Implementation on an Efficient Public Key Encryption Algorithm with Keyword Search Scheme

TitleResearch and Implementation on an Efficient Public Key Encryption Algorithm with Keyword Search Scheme
Publication TypeConference Paper
Year of Publication2020
AuthorsZhang, Z., Wang, Z., Li, S.
Conference Name2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
Keywordscloud computing, composability, corporate cloud storage environment, cyber physical systems, data confidentiality, data privacy, efficient encryption, encrypted data, Encryption, Keyword search, keyword search scheme, network storage service, NPEKS, pubcrawl, Public key, public key cryptography, public key encryption, public key encryption algorithm, Public key Encryption with Keyword Search (PEKS), query formulation, Resiliency, Searchable encryption, searchable encryption algorithms, secret retrieval, Servers, storage management, third-party data, third-party server
AbstractWith the rapid development of network storage service, a number of companies and individuals have stored data on a third-party server. Encryption is an effective means of protecting the confidentiality and privacy of data, but retrieval on the encrypted data is a very difficult task. Thus, searchable encryption has become a hot topic in recent years. The paper first introduces the existing searchable encryption algorithms. Then studies the new PEKS scheme (NPEKS) and analyzes its performance and efficiency. In the end, based on NPEKS, introduced attribute encryption, designed a scheme which is suitable for corporate cloud storage environment. This scheme not only has the advantages of simplicity and efficiency, but also can realize the secret retrieval of the third-party data. Experiments show that comparing with existing PEKS schemes and other improved schemes, this scheme has the advantages of simplicity and high efficiency. In addition, its security is the same as existing PEKS schemes.
Citation Keyzhang_research_2020