Fuzzy Identity-Based Dynamic Auditing of Big Data on Cloud Storage

Zhao, Chenbin; Xu, Li; Li, Jiguo; Wang, Feng; Fang, He

doi:10.1109/access.2019.2950938

Cited by 15 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the disadvantages of privacy and large computational overhead make this scheme not suitable for most scenarios. Zhao et al [30] designed a big data dynamic auditing method based on fuzzy identity by combining MHT and index logic tables (ILT), which simplified the interaction process between DO and CSP in dynamic updates. Again, the paper does not do a good job of privacy protection.…”

Section: Related Workmentioning

confidence: 99%

Certificateless Data Integrity Auditing in Cloud Storage with a Designated Verifier and User Privacy Preservation

Bian

Guo

et al. 2022

Electronics

View full text Add to dashboard Cite

With the rapid development of science and technology, enterprises will provide their customers with cloud data storage services. These massive amounts of data bring huge management costs to enterprises. Therefore, enterprises choose to store their data in professional cloud service providers and have third-party auditors check the integrity of cloud data to ensure security. Although the appearance of auditors reduces the enormous calculation pressure on enterprises, if the number of auditors is not limited, it will also bring an expensive management burden to enterprises. At the same time, in the process of performing data integrity auditing on behalf of the enterprise, auditors may be interested in some sensitive information of the enterprise’s customers (such as customer’s identity and specific content of customer data). Therefore, this paper proposes a remote data integrity auditing scheme based on designated verifiers. An essential feature of the scheme is that the auditor cannot obtain any customer’s identity information and data in the process of auditing; data integrity, the anonymity of the user’s identity, and data privacy are maintained in the process of auditing. Both theoretical analysis and experimental results show that our scheme is efficient and feasible.

show abstract

Section: Related Workmentioning

confidence: 99%

Certificateless Data Integrity Auditing in Cloud Storage with a Designated Verifier and User Privacy Preservation

Bian

Guo

et al. 2022

Electronics

View full text Add to dashboard Cite

show abstract

“…The security of the data stored in the cloud server is very important. In [37], the dynamic audit scheme of big data using a fuzzy identity ensures the integrity of user data.…”

Section: B Technologies Of Cloud-enabled Iomt 1) Cloud Computingmentioning

confidence: 99%

Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

et al. 2020

View full text Add to dashboard Cite

With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and explosive growth of medical data have brought huge challenges to data access, security and privacy, as well as information processing in Internet of Medical Things (IoMT). This article provides a comprehensive review of how to realize the timely processing and analysis of medical big data and the sinking of high-quality medical resources under the constraints of the existing medical environment and medical-related equipment. We mainly focus on the advantages brought by the cloud computing, edge computing and artificial intelligence technologies to the IoMT. We also explore how to rationalize the use of medical resources and the security and privacy of medical data, so that high-quality medical services can be provided to patients. Finally, we discuss the current challenges and possible future research directions in the edge-cloud computing and artificial intelligence related IoMT. INDEX TERMS Internet of medical things (IoMT), deep learning, edge of computing, computation offloading.

show abstract

“…However, none of the above schemes have been designed specifically for images stored on the cloud, thus Tang et al [26] proposed an efficient real-time integrity auditing protocol specially designed for cloud images, which also supported fair arbitration. In 2019, based on a new primitive fuzzy identity, Zhao et al [27] presented a dynamic auditing protocol for the integrity verification of big data. This scheme applies fuzzy identity to the integrity verification of big data for the first time.…”

Section: Related Workmentioning

confidence: 99%

Stereo storage structure assisted one-way anonymous auditing protocol in e-health system

Jiang¹,

Wang²,

Shen³

2020

JSSS

View full text Add to dashboard Cite

Aim: With the popularity of cloud storage, data integrity has become a hot research spot. As clients' data is outsourced to the cloud, how to prevent clients' privacy from being leaked has become an urgent problem to be solved. In addition, the design of the storage structure in the cloud is also a challenge. To solve the above problem, we focus on enabling data integrity verification in the medical environment with clients' privacy protection and a novel storage structure assisted. Methods: By leveraging the one-way anonymous key agreement and the novel stereo storage structure, a novel stereo storage structure assisted one-way anonymous auditing protocol in e-health system is proposed. First, the one-way anonymous auditing protocol can realize the adaptive anonymity of clients in the e-health system. Second, the novel stereo storage structure can implement the storage and fast search of medical data. Results: The theoretical analyses indicate that the proposed scheme is secure under the Computational Diffie-Hellman problem and Discrete algorithm problem and it has a decent performance in computational overhead. Besides, the simulation results demonstrate that the computational cost of the user is constant. Conclusion: To protect the user's private information in e-health system, we propose a stereo storage structure assisted one-way anonymous auditing protocol in this paper. In the proposed scheme, fast searching of data, the one-way anonymity and the data auditing with mutual supervision are supported, which is necessary for the patients and the medical personnel in a real e-health scenario.

show abstract

Fuzzy Identity-Based Dynamic Auditing of Big Data on Cloud Storage

Cited by 15 publications

References 32 publications

Certificateless Data Integrity Auditing in Cloud Storage with a Designated Verifier and User Privacy Preservation

Certificateless Data Integrity Auditing in Cloud Storage with a Designated Verifier and User Privacy Preservation

Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

Stereo storage structure assisted one-way anonymous auditing protocol in e-health system

Contact Info

Product

Resources

About