Improved certificate-based encryption scheme in the big data : combining aes and (ECDSA-ECDH)
المؤلفون المشاركون
Sharif, Umar Salah F.
Saghir, Ali Makki
المصدر
Ibn al-Haitham Journal for Pure and Applied Science
العدد
المجلد 2021، العدد (s+conf) (31 ديسمبر/كانون الأول 2021)، ص ص. 82-95، 14ص.
الناشر
جامعة بغداد كلية التربية ابن الهيثم
تاريخ النشر
2021-12-31
دولة النشر
العراق
عدد الصفحات
14
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Big data usually running in large-scale and centralized key management systems.
However, the centralized key management systems are increasing the problems such as single point of failure, exchanging a secret key over insecure channels, third-party query, and key escrow problem.
To avoid these problems, we propose an improved certificate-based encryption scheme that ensures data confidentiality by combining symmetric and asymmetric cryptography schemes.
The combination can be implemented by using the Advanced Encryption Standard (AES) and Elliptic Curve Diffie-Hellman (ECDH).
The proposed scheme is an enhanced version of the Certificate-Based Encryption (CBE) scheme and preserves all its advantages.
However, the key generation process in our scheme has been done without any intervention from the certificate issuer and avoiding the risk of compromised CA.
The Elliptic Curve Digital Signature Algorithm (ECDSA) has been used with the ECDH to handle the authentication of the key exchange.
The proposed scheme is demonstrated on a big dataset of social networks.
The scheme is analyzed based on security criteria that have been compared with the previous schemes to evaluate its Big data usually running in large-scale and centralized key management systems.
However, the centralized key management systems are increasing the problems such as single point of failure, exchanging a secret key over insecure channels, third-party query, and key escrow problem.
To avoid these problems, we propose an improved certificate-based encryption scheme that ensures data confidentiality by combining symmetric and asymmetric cryptography schemes.
The combination can be implemented by using the Advanced Encryption Standard (AES) and Elliptic Curve Diffie-Hellman (ECDH).
The proposed scheme is an enhanced version of the Certificate-Based Encryption (CBE) scheme and preserves all its advantages.
However, the key generation process in our scheme has been done without any intervention from the certificate issuer and avoiding the risk of compromised CA.
The Elliptic Curve Digital Signature Algorithm (ECDSA) has been used with the ECDH to handle the authentication of the key exchange.
The proposed scheme is demonstrated on a big dataset of social networks.
The scheme is analyzed based on security criteria that have been compared with the previous schemes to evaluate its performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sharif, Umar Salah F.& Saghir, Ali Makki. 2021. Improved certificate-based encryption scheme in the big data : combining aes and (ECDSA-ECDH). Ibn al-Haitham Journal for Pure and Applied Science،Vol. 2021, no. (s+conf), pp.82-95.
https://search.emarefa.net/detail/BIM-1255674
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sharif, Umar Salah F.& Saghir, Ali Makki. Improved certificate-based encryption scheme in the big data : combining aes and (ECDSA-ECDH). Ibn al-Haitham Journal for Pure and Applied Science Special issue conference (2021), pp.82-95.
https://search.emarefa.net/detail/BIM-1255674
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sharif, Umar Salah F.& Saghir, Ali Makki. Improved certificate-based encryption scheme in the big data : combining aes and (ECDSA-ECDH). Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 2021, no. (s+conf), pp.82-95.
https://search.emarefa.net/detail/BIM-1255674
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 93-95
رقم السجل
BIM-1255674
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