Vimala Roselin - Academia.edu (original) (raw)

Vimala Roselin

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Papers by Vimala Roselin

Research paper thumbnail of Efficient Security Framework for Sensitive Data sharing On Big Data Platform in Cloud Computing

International Journal of Computer Sciences and Engineering

Research paper thumbnail of Secure sensitive data sharing on a big data platform

Tsinghua Science Technology, 2015

Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will he... more 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.

Research paper thumbnail of Efficient Security Framework for Sensitive Data sharing On Big Data Platform in Cloud Computing

International Journal of Computer Sciences and Engineering

Research paper thumbnail of Secure sensitive data sharing on a big data platform

Tsinghua Science Technology, 2015

Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will he... more 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.

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