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A Sensitive Information Protection Scheme in Named Data Networking Using Attribute-Based Ring-Signcryption
Feng, Tao; Liu, Ningning
2017-08-08
会议日期June 26, 2017 - June 29, 2017
会议地点Shenzhen, China
关键词Computers Network security Adaptive chosen-ciphertext securities Future internet architecture Multi authorities Named data networkings Random Oracle model Security mechanism Sensitive information protections Sensitive informations
DOI10.1109/DSC.2017.67
页码187-194
英文摘要Named Data Networking (NDN) is a new type of data-centric future internet architecture, and introducing security mechanisms into the architecture directly. However, in the process of verifying and transmitting data packets, there are still some issues of the sensitive information leakage. Aiming at the above problems, this paper proposes a sensitive information protection scheme using attribute-based ring-signcryption to address the privacy leakage problem in NDN. The public keys for publishers used to ring-signcrypt and the private keys for consumers and NDN routers used to un-signcrypt are all generated by multi-authorities. NDN routers are members of the ring and fully trusted in our scheme, and they can validate the correctness and integrity of messages. The scheme is proved adaptive chosen-ciphertext security in the random oracle model. The article proposed an attribute-based ring-signcryption mechanism in NDN not only protects the privacy of participants but also ensures the confidentiality and unforgeability of messages. © 2017 IEEE.
会议录Proceedings - 2017 IEEE 2nd International Conference on Data Science in Cyberspace, DSC 2017
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/118056]  
专题计算机与通信学院
作者单位School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式
GB/T 7714
Feng, Tao,Liu, Ningning. A Sensitive Information Protection Scheme in Named Data Networking Using Attribute-Based Ring-Signcryption[C]. 见:. Shenzhen, China. June 26, 2017 - June 29, 2017.
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