A Dynamic Integrity Detection Scheme with Privacy Preserving in Internet of Things
Traditional solutions,such as Chinese Remainder Theorem、time slots and binary tree,are used by many researchers to deal with the issue of integrity detection in Internet of Things( IoT).However,such a kind of methods are suitable to only the occasions,where the number of detecting objects is static other than dynamic.Based on our previous work,a dynamic detection scheme with privacy preserving( DDPP) is proposed in this paper,which is based on BLS signature,Merkle Hash Tree and Bilinear map.The proposed scheme not only can detect the integrity of an object' s number dynamically,but also can preserve the clients' privacy by encrypting messages and integrity verification in the process of detection.The results of extensive simulation experiments show that the proposed scheme incurs less communication cost than DPDP.