Privacy-Preserving Blockchain-Based Nonlinear SVM Classifier Training for Social Networks
المؤلفون المشاركون
المصدر
Security and Communication Networks
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-14
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
With the development of social networks, there are more and more social data produced, which usually contain valuable knowledge that can be utilized in many fields, such as commodity recommendation and sentimental analysis.
The SVM classifier, as one of the most prevailing machine learning techniques for classification, is a crucial tool for social data analysis.
Since training a high-quality SVM classifier usually requires a huge amount of data, it is a better choice for individuals and small enterprises to conduct collaborative training with multiple parties.
Nevertheless, it causes privacy risks when sharing sensitive data with untrusted people and enterprises.
Existing solutions mainly adopt the computation-intensive cryptographic methods which are not efficient for practical applications.
Therefore, it is an urgent and challenging task to realize efficient SVM classifier training while protecting privacy.
In this paper, we propose a novel privacy-preserving nonlinear SVM classifier training scheme based on blockchain.
We first design a series of secure computation protocols which can achieve secure nonlinear SVM classifier training with minimal computation overheads.
Then, leveraging these building blocks, we propose a blockchain-based secure nonlinear SVM classifier training scheme that realizes collaborative training while protecting privacy.
We conduct a thorough analysis of the security properties of our scheme.
Experiments over a real dataset show that our scheme achieves high accuracy and practical efficiency.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jia, Nan& Fu, Shaojing& Xu, Ming. 2020. Privacy-Preserving Blockchain-Based Nonlinear SVM Classifier Training for Social Networks. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1208823
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jia, Nan…[et al.]. Privacy-Preserving Blockchain-Based Nonlinear SVM Classifier Training for Social Networks. Security and Communication Networks No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1208823
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jia, Nan& Fu, Shaojing& Xu, Ming. Privacy-Preserving Blockchain-Based Nonlinear SVM Classifier Training for Social Networks. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1208823
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208823
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