Title of article :
Secure Sensitive Data Sharing on a Big Data Platform
Author/Authors :
Dong, Xinhua Huazhong University of Science and Technology - School of Computer Science and Technology, China , Li, Ruixuan Huazhong University of Science and Technology - School of Computer Science and Technology, China , He, Heng Huazhong University of Science - School of Computer Science and Technology and Technology, China , Zhou, Wanwan Huazhong University of Science and Technology - School of Computer Science and Technology, China , Xue Huazhong University of Science and Technology - School of Computer Science and Technology, China , Wu, Hao Huazhong University of Science and Technology - School of Computer Science and Technology, China
Abstract :
Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will help enterprises reduce the cost of providing users with personalized services and provide value-added data services. However, secure data sharing is problematic. This paper proposes a framework for secure sensitive data sharing on a big data platform, including secure data delivery, storage, usage, and destruction on a semi-trusted big data sharing platform. We present a proxy re-encryption algorithm based on heterogeneous ciphertext transformation and a user process protection method based on a virtual machine monitor, which provides support for the realization of system functions. The framework protects the security of users’ sensitive data effectively and shares these data safely. At the same time, data owners retain complete control of their own data in a sound environment for modern Internet information security.
Keywords :
secure sharing , sensitive data , big data , proxy re , encryption , private space
Journal title :
Tsinghua Science and Technology
Journal title :
Tsinghua Science and Technology
