Users store vast amounts of data on a big data platform. Sharing 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. At the same time, data owners retain complete control of their own data in a sound environment for modern Internet information security. we present an alternative approach which divides big data into sequenced parts and stores them among multiple Cloud storage service providers. Instead of protecting the big data itself, the proposed scheme protects the mapping of the various data elements to each provider using a trapdoor function. Analysis, comparison and simulation prove that the proposed scheme is efficient and secure for the big data of Cloud tenants. Secured data transmission using elliptic curve cryptography can be defined as transmission of data. This paper proposes an survey about Secured data transmission using elliptic curve cryptography. The main problem in existing system is security issues in transmitting data between source and the destination. After the survey on various literature papers, we are concluding a new way, that increases security considerations for transfer of data and to increment the efficiency using ECC(Elliptic Curve Cryptography). Efficiency and reliability will be increased for each transmission of data, While enclosing the proposed method by using the ECC algorithm which allow itself to encrypt and decrypt the data that is to be transferred and performs the active classification.
Cloud computing, big data, storage and sharing, security, secure sharing, elliptic curve cryptography algorithm.
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