A Pseudonym Based Anonymous Identity Authentication Mechanism For Mobile Crowd Sensing

As a new paradigm of sensing in the Internet of Things,Mobile Crowd Sensing(MCS)takes advantage of ubiquitous sensing device within a specific range to collect sensing data of individuals,situations and environments for a variety of applications.Considering that people pay more and more attention to personal privacy information,MCS needs to verify the identity information of users who enter the network to ensure the security.Therefore,anonymous identity authentication has become a hot research direction in the context of MCS.This thesis focuses on a pseudonym based anonymous identity authentication mechanism for MCS,so as to achieve both user privacy protection and MCS security.This thesis carries out research on the following three aspects:(1)To solve the defects of single authentication system,this thesis firstly analyzes the design requirements and user demands,then puts forward a composition architecture of identity authentication based on Public Key Infrastructure(PKI)and Combined Public Key(CPK).System's function module uses PKI mechanism to build while CPK mechanism is responsible for key pair's generation and management.(2)To ensure the security of key,this thesis studies the basic principles and main characteristics of elliptic curve cryptosystem and proposes CPK algorithm based on elliptic curve cryptosystem to generate user's key pair(public key and private key)to meet user's security requirements.(3)Considering that great resource consumption and low efficiency of traditional identity authentication mechanism,this thesis proposes an attacker model in authentication environment,defines the concept of "pseudonym set" and applies it to the interaction process.In particular,this paper designs a pseudonym based anonymous identity authentication mechanism for MCS.By reducing the search time for user's key information,the authentication time can be decreased and the efficiency of authentication can be improved.In this thesis,test environment of identity authentication mechanism in MCS network is built on Opnet Modeler.Meanwhile,function verification and performance verification are carried out.For functional verification,the analysis on six safety factors and detailed.For performance verification,the impacts of two key parameters(the number of users in pseudonym set and the number of users submitting authentication request synchronously)on the authentication time are discussed.At the same time,this paper makes a quantitative analysis of the three important performance factors:amount of calculation,communication traffic and required storage space,so as to evaluate the advantages of our proposed solution.