Protection of Sensitive Data in Industrial Internet Based on Three-Layer LocalFogCloud Storage
Joint Authors
Liu, Jing
Yuan, Changbo
Lai, Yingxu
Qin, Hua
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-02
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Industrial Internet technology has developed rapidly, and the security of industrial data has received much attention.
At present, industrial enterprises lack a safe and professional data security system.
Thus, industries urgently need a complete and effective data protection scheme.
This study develops a three-layer framework with local/fog/cloud storage for protecting sensitive industrial data and defines a threat model.
For real-time sensitive industrial data, we use the improved local differential privacy algorithm M-RAPPOR to perturb sensitive information.
We encode the desensitized data using Reed–Solomon (RS) encoding and then store them in local equipment to realize low cost, high efficiency, and intelligent data protection.
For non-real-time sensitive industrial data, we adopt a cloud-fog collaborative storage scheme based on AES-RS encoding to invisibly provide multilayer protection.
We adopt the optimal solution of distributed storage in local equipment and the cloud-fog collaborative storage scheme in fog nodes and cloud nodes to alleviate the storage pressure on local equipment and to improve security and recoverability.
According to the defined threat model, we conduct a security analysis and prove that the proposed scheme can provide stronger data protection for sensitive data.
Compared with traditional methods, this approach strengthens the protection of sensitive information and ensures real-time continuity of open data sharing.
Finally, the feasibility of our scheme is validated through experimental evaluation.
American Psychological Association (APA)
Liu, Jing& Yuan, Changbo& Lai, Yingxu& Qin, Hua. 2020. Protection of Sensitive Data in Industrial Internet Based on Three-Layer LocalFogCloud Storage. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208364
Modern Language Association (MLA)
Liu, Jing…[et al.]. Protection of Sensitive Data in Industrial Internet Based on Three-Layer LocalFogCloud Storage. Security and Communication Networks No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1208364
American Medical Association (AMA)
Liu, Jing& Yuan, Changbo& Lai, Yingxu& Qin, Hua. Protection of Sensitive Data in Industrial Internet Based on Three-Layer LocalFogCloud Storage. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208364
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208364