A threshold-based model for privacy protection in cloud computing

Privacy for cloud computing has become an important issue in recent years. In this paper, we propose a threshold-based model for privacy protection in cloud computing with a particular (n +1, t +1) secret sharing scheme which is bases on the matrix and vector. We show how our (n +1, t +1) secret sharing scheme can be applied to protect privacy. First, we assign each row of the matrix as a key of vector. Next, we make use of the linear correlation and linear independence of the vector to evaluate the rank of the key matrix. As a result, only the data owner together with t cloud service providers who hold the linearly independent vectors can recover the key matrix. According to the obtained key, the corresponding role is given the authority to operate the data by role-based authorization mechanism. Finally, we analyze the security of this model.