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  • 1.
    Liu, Xingchen
    et al.
    Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210023, Peoples R China.;Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor N, Nanjing 210023, Peoples R China..
    Zhang, Shaohui
    Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210023, Peoples R China.;Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor N, Nanjing 210023, Peoples R China..
    Huang, Haiping
    Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210023, Peoples R China.;Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor N, Nanjing 210023, Peoples R China..
    Wang, Wenming
    Anqing Normal Univ, Sch Comp & Informat, Anqing 246133, Peoples R China.;Nanjing Univ, State Key Lab oratory Novel Software Technol, Nanjing 210023, Peoples R China..
    Malekian, Reza
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    A Verifiable and Efficient Secure Sharing Scheme in Multiowner Multiuser Settings2023In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 17, no 4, p. 5798-5809Article in journal (Refereed)
    Abstract [en]

    Data security has remained a challenging problem in cloud storage, especially in multiowner data sharing scenarios. As one of the most effective solutions for secure data sharing, multikeyword ranked searchable encryption (MRSE) has been widely used. However, most of the existing MRSE schemes have some shortcomings in multiowner data sharing, such as index trees generated by data owners, relevance scores in plaintext form, and lack of verification function. In this article, we propose a verifiable and efficient secure sharing scheme in multiowner multiuser settings, where the index tree is generated by the trusted authority. To achieve verifiable functionality, the blockchain-based smart contract is adopted to execute the search algorithm. Based on a distributed two-trapdoor public-key cryptosystem, the data uploaded and used are in ciphertext form, and the proposed algorithms are secure in our scheme. For improving efficiency, the encrypted data are aggregated according to the category and the Category ID-based index tree is generated. Extensive experiments are conducted to demonstrate that it can reduce the time cost of index construction by 75% and the time cost of search by 53%, approximately. Moreover, multithreaded optimization is introduced in our scheme, which can reduce the time cost of index construction by 76% and the time cost of search by 67%, approximately (with 16 threads).

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