Protection of Sensitive Data in Industrial Internet Based on Three-Layer LocalFogCloud Storage
المؤلفون المشاركون
Liu, Jing
Yuan, Changbo
Lai, Yingxu
Qin, Hua
المصدر
Security and Communication Networks
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-02
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208364
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر