With the popularity of cloud computing and IoT, consistently increasing data brings us a great burden to store locally. Due to the local limited storage capacity and expensive maintenance cost, individuals and enterprises are preferred to outsource their data to the public commercial cloud (e.g., Google Drive and Dropbox). However, the commercial cloud can not be fully trusted because data on the cloud may be modified by various reasons (e.g., outside hackers’ attacks, hardware or software failures). To ensure data integrity, one of the most popular techniques is secure cloud storage (SCS). Nevertheless, traditional solutions of SCS with heavy cryptographic operations make data outsourcing computationally complicated. Moreover, most proposed approaches only focus on verifying data integrity while neglecting the functionality of data dynamics. To address these issues, we propose a Secure Auditable Cloud Storage (SecACS) scheme supporting data dynamics. SecACS requires less computation time by employing lightweight cryptographic operations. Compared to the previous solutions, the extensive experimental results demonstrate that SecACS achieves one order of magnitude faster in outsourcing data and twice faster in checking data integrity.

随着云计算和物联网的普及，不断增加的数据给我们带来了很大的本地存储负担。由于本地有限的存储容量和昂贵的维护成本，个人和企业最好将其数据外包给公共商业云（例如Google Drive和Dropbox）。但是，商业云无法得到完全信任，因为云上的数据可能由于各种原因（例如，外部黑客的攻击，硬件或软件故障）而被修改。为了确保数据完整性，最流行的技术之一是安全云存储（SCS）。然而，具有大量加密操作的SCS传统解决方案使数据外包的计算变得复杂。此外，大多数提议的方法只专注于验证数据完整性，而忽略了数据动态功能。秒URE甲uditable Ç响亮小号torage（SecACS）方案支持数据动力学。通过采用轻量级的加密操作，SecACS需要更少的计算时间。与以前的解决方案相比，广泛的实验结果表明，SecACS的外包数据速度快一个数量级，而检查数据完整性的速度快两倍。