Research On The Aggregate Signature Scheme Based On Wireless Sensor Network Environment Monitoring

With the progress and development of the technology of IoT,Wireless sensor network has been applied to all aspects of social life,which has made a great impact on people's productive life style.As one of the most important fields of wireless sensor network,environmental monitoring has aroused wide attention of many scholars.In the Wireless sensor network environment monitoring,the processing center needs to quickly verify and deal with the large amount of information sent by the sensor,because of the limited bandwidth of communication,how to construct the scheme to guarantee the calculation and communication cost is a problem to be solved urgently.As a digital signature with a special character,the aggregation signature it can compress the signature of any number of users into a signature and simplify the verification of any multiple signatures to a single verification,so it can effectively solve the problem of the signature expansion of the wireless sensor network environment monitoring system and Can effectively reduce the system calculation and communication costs,greatly improve the efficiency of system execution.The main research contents of this paper are as follows:? Aiming at the characteristics of wireless sensor network environment monitoring,an identity-based aggregation signature scheme for WSN environment monitoring is proposed.This scheme is unparalleled linear pair operation,simplifies the verification process,improves the operation efficiency of the scheme,and can be applied to the wireless sensor network environment with limited resources.? An identity-based multiple aggregation signature scheme is proposed.This scheme is existence forgery and non repudiation,and can be used to provide security authentication for messages sent by sensor nodes at lower computational cost.? By using bilinear pair technique and elliptic curve discrete logarithm problem,a kind of unsigned aggregation signature scheme is presented,which proves the correctness and security of the scheme under the stochastic Prediction model based on the difficult problem.