دانلود رایگان مقاله انگلیسی اشتراک دیتای مبتنی بر هویت امن در شبکه های اجتماعی سیار مراقبت از سلامت - IEEE 2018

ABSTRACT

Cloud computing and social networks are changing the way of healthcare by providing realtime data sharing in a cost-effective manner. However, data security issue is one of the main obstacles to the wide application of mobile healthcare social networks (MHSNs), since health information is considered to be highly sensitive. In this paper, we introduce a secure data sharing and profile matching scheme for the MHSN in cloud computing. The patients can outsource their encrypted health records to cloud storage with an identity-based broadcast encryption technique, and share them with a group of doctors in a secure and efficient manner. We then present an attribute-based conditional data re-encryption construction which permits the doctors who satisfy the pre-defined conditions in the ciphertext to authorize the cloud platform to convert a ciphertext into a new ciphertext of an identity-based encryption scheme for specialist without leaking any sensitive information. Furthermore, we provide a profile matching mechanism in the MHSN based on identity-based encryption with an equality test, which helps patients to find friends in a privacy-preserving way and achieves flexible authorization on the encrypted health records with resisting the keywords guessing attack. Moreover, this mechanism reduces the computation cost on the patient side. The security analysis and experimental evaluation show that our scheme is practical for protecting the data security and privacy in the MHSN.

CONCLUSION

The MHSN has improved the healthcare through its convenient data sharing. For the purpose of guaranteeing data confidentiality and availability in MHSN, we propose a secure identity-based data sharing and profile matching scheme in cloud computing. We first realize secure data sharing in MHSN with IBBE cryptographic technique, which allows the patients to store EHRs to cloud securely and share them with a group of doctors efficiently. Then we present an attribute-based CPRE mechanism in MHSN, which allows doctors who satisfy the pre-defined conditions to authorize the cloud to convert a stored ciphertext into a new ciphertext under IBE for the specialist, without leaking any sensitive information. Further, we provide a profile matching mechanism based on IBEET, which can achieve flexible authorization on encrypted EHRs and help patients to find friends in a privacy-preserving and efficient way. The analysis and results show that the computation cost on patient side is reduced.