Efficient and secure identity-based encryption scheme with equality test in cloud computing

Wu, Libing; Zhang, Yubo; Choo, Kim-Kwang Raymond; He, Debiao

doi:10.1016/j.future.2017.03.007

Cited by 82 publications

(67 citation statements)

References 10 publications

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“…Based on the works of Boneh et al and Menezes et al, the required computational time sequence of different operations is T H ≈ T M < T J < T R < T E ≤ T Q < T P . Thus, the scheme is efficient than others during the key extraction and encryption and better than schemes in other works and nearly equal to Cocks's scheme during decryption of a message. On the other side, in QRDVS scheme, the computation time for a given input message mainly depends on the time required to generate and verify the signature.…”

Section: Further Discussion On the Qribe And Qrdvs Schemesmentioning

confidence: 99%

Provably secure and authenticated data sharing protocol for IoT‐based crowdsensing network

Karati

Biswas

2018

Trans Emerging Tel Tech

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With the rapid developments in embedded sensor technology, the internet of things (IoT) becomes the most focused research trend in the recent years. However, the integration of such technology into mobile crowdsensing networks results in many security challenges. Data confidentiality and authenticity are the two key privacy concerns in any IoT‐based crowdsensing environment. Focusing on these security issues, we present a new cryptographic protocol to meet those challenges. Our protocol is based on two new schemes; first is an encryption scheme, which utilizes the idea of identity‐based encryption, and the second is a designated verifier signature scheme. Here, we design a pairing‐free and random oracle‐free encryption scheme with a small‐size public parameter where the anonymity of IoT‐recipient is maintained. Besides, the proposed designated verifier signature scheme facilitates the signatory to send a signature without sending the original message. The security of the encryption and signature schemes are proven in the standard security model based on the difficulty of proposed modified interactive quadratic residuosity “(MIQR)” assumption. Moreover, the schemes are compared with other relevant schemes and found several merits in terms of functionality. Thus, the proposed protocol is applicable in many IoT‐enabled crowdsourcing environments where the authenticity of confidential data is the major concern.

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Section: Further Discussion On the Qribe And Qrdvs Schemesmentioning

confidence: 99%

Provably secure and authenticated data sharing protocol for IoT‐based crowdsensing network

Karati

Biswas

2018

Trans Emerging Tel Tech

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“…Huang et al [15] introduced a novel public key encryption with authorized equality warrants on all of its ciphertext or a specified ciphertext. To strengthen the securing requirement, Wu et al [16] proposed an efficient and secure identity-based encryption scheme with equality test in cloud computing. Xu et al [17] proposed a CP-ABE using bilinear pairing to provide users with searching capability on ciphertext and fine-grained access control.…”

Section: Related Workmentioning

confidence: 99%

Group Key Management Protocol for File Sharing on Cloud Storage

et al. 2020

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The large-scale sharing needs of many enterprises promote the development of cloud storage. While the cloud computing stores the shared files outside the trust domain of the owner, the demands and concerns for file security is arising. In this paper, a Group Key Management Protocol for file sharing on cloud storage (GKMP) is proposed. Faced with network attacks from public channel, a group key generation scheme based on mixed encryption technology is proposed. And a verification scheme is used to prevent shared files from being attacked by the collusion attack of cloud providers' and group members'. Security and performance analyses indicate that the proposed protocol is both secure and efficient for data sharing in cloud computing. INDEX TERMS Cloud storage, group key, file sharing, key distribution.

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“…There are four methods used to encrypt for protecting data at rest, those are; level at entire memory disk, level at index, point at organizer with level of submission. In the case of complex task meant for realization such of those approaches secret information key execution for information content protection methodology [3].…”

Section: Introductionmentioning

confidence: 99%

Security in Cloud Health Care

2019

IJRTE

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Cloud computing plays vital role in various services to the users. The application of cloud computing includes usage in business, media transmission, banking, health care, military application, insurance, wireless communication, etc. One such application using Cloud computing is health care. The patient health history is very significant for diagnostic analysis and decision making process. The healthcare data processing and communication technology (HDCT) is building a constant and secured health care data processing and sharing Electronic Health Services (EHS) are regularly utilized by the needy, specialists, and social insurance experts to diminish medical service cost and give productive human services forms healthcloud preserves the character-particular sensitive information for numerous purposes including biomedical research, medical health insurance groups, clinical statistics analysis, and many others. The various types of attacks and detection approaches in the healthcare have been reviewed in this work. It brings out the fact that the Electronic Health Data Record (EHDR) should be processed and transmitted in a secured and confidential environment while increasing accuracy and efficiency based on various algorithms such as machine learning.

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Efficient and secure identity-based encryption scheme with equality test in cloud computing

Cited by 82 publications

References 10 publications

Provably secure and authenticated data sharing protocol for IoT‐based crowdsensing network

Provably secure and authenticated data sharing protocol for IoT‐based crowdsensing network

Group Key Management Protocol for File Sharing on Cloud Storage

Security in Cloud Health Care

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