Research On Data Aggregation Technology In Crowd-sensing Network

In recent years,Crowd-sensing Network has become one of the current research hotspots as a new type of sensing mode.In the Crowd-sensing Network,data requesters can distribute complex data collection tasks to a large number of ordinary users in the form of tasks,so that users to collaborate to complete responsible data collection.In order to protect data privacy and reduce communication overhead during data transmission,secure data aggregation technology is one of the most commonly used methods.Although there are many schemes to study the secure data aggregation technology in the Crowd-sensing Network,there are few researches on data aggregation technology with ciphertext processing.The data center can't process the ciphertext data and directly send to the user collected data,which will bring a lot of computing burden to the user,and at the same time,it doesn't make full use of the powerful computing power of the data center.Therefore,it has an important theoretical significance and application value to study the secure data aggregation scheme with ciphertext processing in the Crowd-sensing Network.The thesis studies the technology of secure data aggregation in the Crowd-sensing Network.The main work is as follows:Based on Bresson et al.'s scheme,combined with Lagrange's interpolation theorem,a homomorphic encryption scheme supporting ciphertext comparison is constructed,and the semantic security of the scheme is proved under the assumption of Partial Discrete Logarithm and the DDH assumption overZ_N^*₂.Compared with the existing homomorphic encryption schemes,the proposed scheme can not only achieve homomorphic encryption,but also finish ciphertext comparison,and has higher calculation efficiency.Based on the proposed homomorphic encryption scheme with supporting ciphertext comparison,a data aggregation scheme,which supports a variety of data processing functions,is designed in the Crowd-sensing Network.This solution can not only realizes data aggregation,but also compare the perceived ciphertext data,so as to realize various processing of the ciphertext,such as ciphertext sorting,seeking the most value,and data segmentation statistics.Compared with the existing data schemes,the proposed scheme greatly improves the calculation utilization rate of the data center,and reduces the calculation pressure of the data requester.Based on the proposed data aggregation scheme with special function in the Crowd-sensing Network,a simulation system is designed and implemented by JAVA and Sokect,which verifies the correctness and feasibility of the proposed scheme.