云计算下近岸目标探测数据安全存储方法

Security storage method of nearshore target detection data under cloud computing

传统数据安全存储方法过于注重数据的安全,忽略了数据的存储速度,导致数据的加密过程时间消耗过长,影响数据读写效率;同时,过长的加密计算在某种程度上增加了数据在此过程中泄露的风险几率。因此,提出云计算下近岸目标探测数据安全存储方法。首先,基于云计算技术,引入云计算分布式存储策略,分散架设存储服务器与云计算,提升近岸目标探测数据的读写速度;接着,引入同态浮点加密算法,对存储介质系统文件进行加密处理,实现安全与效率的统一;最后,通过仿真实验证明提出方法的可行性与有效性。

Traditional data security storage methods pay too much attention to the security of data and neglect the speed of data storage,which leads to the long time consumed in data encryption process and affects the efficiency of data reading and writing.At the same time,too long encryption calculation increases the risk of data leakage in this process to a certain extent.Therefore,cloud computing is proposed.A secure storage method for inshore target detection data.Firstly,based on cloud computing technology,the distributed storage strategy of cloud computing is introduced,and storage servers and cloud computing are set up separately to improve the reading and writing speed of inshore target detection data.Secondly,homomorphic floating point encryption algorithm is introduced to encrypt storage media system files to achieve the unity of security and efficiency.The feasibility and validity of the proposed method are proved by simulation experiments.