面向群智感知应用的基于协作的位置认证方案

Cooperation-based location authentication scheme for crowdsensing applications

群智感知利用移动设备收集与位置相关的数据,存在位置欺骗攻击的安全问题,如何保障这些敏感数据的质量成为一个挑战。针对此问题,提出了一种基于协作的位置认证方案来检测提交虚假位置的恶意用户。首先,利用携带移动设备的用户为彼此生成位置证明,利用随机数多次碰撞获取新信息的距离边界协议构造位置认证方案,保证了用户位置的不可伪造,达到提高数据质量的目的。其次,基于区域划分和信誉模型的方法选择位置证明协作者,有效防止了共谋攻击,解决了权益集中的问题。同时,基于信誉值和任务完成时效的激励机制有效提高了协作者完成任务的效率。最后,通过安全性分析和性能评估证明了所提方案的正确性和安全性,以及在计算和通信开销方面的优势。

Utilizing mobile devices to collect location-related data in crowdsensing has the security problem of a location cheating attack. How to guarantee the quality of these sensitive data has become a challenge. In response to this, a location authentication scheme was proposed based on cooperation to detect malicious users who submit false locations. Firstly, users with mobile devices were used to generate location proofs for each other, and a location verification scheme was designed based on distance bounding protocols for obtaining new information by multiple collisions of the same random number, which ensured the user’s location should be unforgeable and achieved the purpose of improving the quality of collected data. In addition, a location proof cooperator select method based on region division and reputation model was proposed which effectively prevented collusion attack and solved the problem of concentration of equity. Meanwhile, the incentive mechanism based on reputation value and task completion time was designed to effectively improve the location proof cooperator efficiency of task completion. Finally, security analysis and performance evaluation indicate that the scheme has proved to be correctness and secure, and the advantages in computational cost and communication overhead.