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拖拉机数字化设计数据库云存储服务数据安全研究

Research on Data Security of Tractor Digitized Design Database Cloud Storage Service

摘要:

目前,在拖拉机设计过程中,由于多数设计部门之间存在缺乏自动化信息交换的手段,设计效率低,难以满足当前设计制造信息化的实时性需求。为了解决这个问题,很多设计企业引入了云设计服务平台,但在信息交换共享的过程中,由于数据拥有者和管理者的分离,会造成数据的安全和知识产权的侵犯问题。为了保护拖拉机数字化设计过程中的图纸和图像的隐私性,提出了一种基于图像退化和复原以及数据分离存储和共享的数据安全隐私保护方法。该方法除了会对拖拉机数字化设计过程中产生的作品图像进行重要信息退化之外,还采用了分离式的数据存储传输形式,将数据信息分离成多个部分,任意一个单一的单元都无法获取完整的信息,实现了数据的双重加密,使加密信息更加安全可靠。对云存储服务数据安全及隐私保护技术进行了验证,结果表明:随着数据规模的不断扩大,通信代价并没有出现过大的变化,并且数据的安全性较高,满足数据安全及隐私保护设计需求。

Abstract:

At present, in the process of tractor design, due to the lack of means of automatic information exchange among most design departments, the design efficiency is low and it is difficult to meet the real-time requirements of current design and manufacturing information. In order to solve this problem, many design enterprises have introduced the cloud design service platform. However, in the process of information exchange and sharing, the separation of data owners and managers can cause data security and infringement of intellectual property. In order to protect the privacy of drawings and images in the process of digital design of tractors, a data privacy protection method based on image degeneration and restoration and data separation storage and sharing is proposed. In addition to the important information degradation of the image of the work produced during the digital design of the tractor, this method uses a separate form of data storage and transmission to separate the data into multiple parts, and no single unit can obtain complete information Of the information, to achieve the double encryption of data, the encrypted information more secure and reliable. The data security and privacy protection technologies of cloud storage service are validated. The results show that with the continuous expansion of data size, communication costs have not changed much, and the data security is high, which meets the requirements of data security and privacy protection demand.

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