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在物联网中,研究者主要采用中国剩余定理、时间槽法、二叉树等方法来研究对象的完整性检测问题,取得了一些性能良好的研究结果.然而,这些方法只适用于检测对象数量没有变动的情况.在已有工作的基础上,设计一种基于BLS短签名,采用优化的Merkle Hash Tree存储数据、运用双线性映射进行完整性验证的动态检测方案DDPP.该方案对监测对象数量动态变化进行检测,对检测过程中的交互信息进行加密处理及完整性验证,可以保护用户隐私.实验结果表明,在通信开销等性能上,DDPP方案相对于已存在的方案DPDP具有较大的优势.
In the Internet of Things, researchers mainly use the Chinese residual theorem, time slot method, binary tree and other methods to study the integrity detection of objects, and have made some good research results.However, these methods are only suitable for the detection of the number of subjects did not change Based on the existing work, a dynamic detection scheme DDPP based on BLS short signature, using optimized Merkle Hash Tree to store data and using bilinear mappings for integrity verification is designed.This scheme has a good effect on the number of objects to be monitored Changes, and encrypts the interaction information in the detection process to verify the integrity of the user information.The experimental results show that DPDP has a great advantage over the existing DPDP solution in terms of communication overhead and other performance.