Research On Trusted Authentication And Incentive Mechanism In Crowdsensing

In recent years,with the rapid development of Internet of things technology,swarm intelligence perception,as a new perception mode,has the advantages of low cost,robust scalability,and comprehensive coverage compared with the traditional perception mode.Therefore,it has attracted more and more attention in industry and academia.The development of technology also makes it widely used in various fields.However,in sensing data,users will consume power,network traffic,and time.Due to wireless network openness,the user's identity is easy to leak,and malicious attackers pose a potential threat to the user's identity information and privacy.Therefore,the trusted authentication stage is a crucial part;information sharing brings potential privacy threats,resulting in user participation reduction.Therefore,to recruit more participants to provide adequate sensing data under the premise of protecting sensing task requesters' privacy,proper trusted authentication and incentive mechanism design are critical.Therefore,this paper aims to design an efficient and low-cost authentication protocol to complete the trusted authentication and an incentive mechanism model to effectively improve the quantity and quality of data of perceptual task participants.Aiming at the trusted authentication of crowdsensing data users,this paper designs a lightweight continuous authentication protocol based on a wireless body area network(WBAN).The development of the medical system brings the demand for higher quality medical services.Wearable devices have attracted more and more attention because they bring great convenience to human life.The specific use of the protocol designed in this paper is essential.The sensing scene is a wireless body area network.The continuous authentication protocol is divided into four phases: the generation phase,the registration phase,the static authentication phase,and the continuous authentication phase.The way of generating biological key by physiological signal can effectively avoid the sensor node's phishing attack.The lightweight continuous authentication technology can effectively reduce resource consumption,communication overhead,and computational complexity,effectively save time and energy and ensure that the authentication node is not maliciously replaced or the original sensor node.Aiming at the problem that participants' enthusiasm and data quality in group intelligence perception systems are not high enough,this paper proposes a mobile crowdsensing PIP based on platform interest.The perceptual incentive is to quantitatively evaluate the interest of the perceptual platform to the candidate according to the perceptual platform's effort to complete the task and the quality of the uploaded perceptual data.Through the two-step dynamic auction method combining offline and online,the winner is selected to participate in the perception task and be paid accordingly.At the end of the paper,the lightweight continuous authentication protocol is analyzed by BAN?Logic security proof.Security performance analysis shows the protocol's effectiveness and the high quality and high quantity of security performance.At the same time,this paper makes a comprehensive evaluation of the authentication scheme from three aspects of computing cost,communication overhead,and security performance.It compares these three aspects with related authentication protocols.The results show that our authentication protocol has the advantages of a lightweight,reciprocity,and low cost.Through the simulation experiment and comparison experiment of the incentive mechanism model PIP proposed in this paper,the results show that the model can produce more excellent platform benefits,little data redundancy,and consume less running time compared with the existing methods.