In these several years, the knowledge finding from big data keeps growing. Big companies or organization try to get an accurate prediction for their customer or targeted customer. The privacy of customer can be abused by the companies and also not get another benefit from the data that already provided to companies. In this thesis, we propose a private data buying-selling platform that not only secure but also can protect the user's identity. Utilizing ciphertext-policy attribute-based encryption for securing private data. Also uses a blockchain framework to create anonymity of user and securing transaction using a decentralized method. Moreover, our proposed platform is also proven to be secure and could withstand some well-known attacks.

In these several years, the knowledge finding from big data keeps growing. Big companies or organization try to get an accurate prediction for their customer or targeted customer. The privacy of customer can be abused by the companies and also not get another benefit from the data that already provided to companies. In this thesis, we propose a private data buying-selling platform that not only secure but also can protect the user's identity. Utilizing ciphertext-policy attribute-based encryption for securing private data. Also uses a blockchain framework to create anonymity of user and securing transaction using a decentralized method. Moreover, our proposed platform is also proven to be secure and could withstand some well-known attacks.

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