基于Tangle网络的移动群智感知数据安全交付模型

A Mobile Crowdsensing Data Security Delivery Model Based on Tangle Network

针对现有群智感知平台在数据和酬金交付过程中存在的安全风险和隐私泄露问题,该文提出一种基于Tangle网络的分布式群智感知数据安全交付模型。首先,在数据感知阶段,调用局部异常因子检测算法剔除异常数据,聚类获取感知数据并确定可信参与者节点。然后,在交易写入阶段,使用马尔科夫蒙特卡洛算法选择交易并验证其合法性,通过注册认证中心登记完成匿名身份数据上传,并将交易同步写入分布式账本。最后,结合Tangle网络的累计权重共识机制,当交易安全性达到阈值时,任务发布者可进行数据和酬金的安全交付。仿真试验表明,在模型保护用户隐私的同时,增强了数据和酬金的安全交付能力,相比现有感知平台降低了时间复杂度和任务发布成本。

Considering the security risks and privacy leaks in the process of data and reward in the Mobile CrowdSensing(MCS),a distributed security delivery model based on Tangle network is proposed.Firstly,in the data perception stage,the local outlier factor detection algorithm is used to eliminate the anomaly data,cluster the perception data and determine the trusted participant.Then,in the transaction writing stage,Markov Monte Carlo algorithm is used to select the transaction and verify its legitimacy.The anonymous identity data is uploaded by registering with the authentication center,and the transaction is synchronously written to the distributed account book.Finally,combined with Tangle network cumulative weight consensus mechanism,when the security of transaction reaches its threshold,task publishers can safely deliver data and rewards.The simulation results show that the model not only protects user privacy,but also enhances the ability of secure delivery of data and reward.Compared with the existing sensing platform,the model reduces the time complexity and task publishing cost.