【摘要】 云共享环境下，虽然现有的数据确定性删除算法保证了远程存储数据在停止共享后的安全性，但没有考虑到不同数据访问策略之间的差异.不同访问策略可能需要数据拥有者撤销全部属性才能实现数据删除，但大量的计算可能导致数据拥有者无法快速完成数据删除，导致数据仍然能被访问.为此，在现有数据删除算法的基础上提出了一种轻量级的数据确定性删除算法，以降低数据拥有者的删除负担.该算法通过额外设置的关键属性及默克尔哈希树对云共享的数据执行删除和验证操作.实验结果表明，提出的算法是安全且高效的.更多还原

【Abstract】 In cloud sharing environment, although the existing data assured deletion algorithm ensures the security of remotely stored data after the sharing is stopped, it does not take into account the differences between different data access policies, and different access policies may require the data owner to revoke all attributes to achieve data deletion, and the large amount of computation may result in the data owner not being able to complete data deletion quickly, causing the problem that the data can still be accessed.To this end, the researchers propose a lightweight algorithm for data assured deletion in cloud data sharing to reduce the deletion burden of the data owner based on the existing data deletion algorithms.The algorithm performs deletion and verification operations on the data shared in the cloud with the additional key attribute and Merkle hash trees.The security analysis and experimental results prove the security and effectiveness of the proposed algorithm in this paper.更多还原