差分隐私在双向异质频谱拍卖方案中的研究  

Research on Differential Privacy in Bidirectional Heterogeneous Spectrum Auction Scheme

作　　者：巫朝霞[1] 王路 WU Chaoxia;WANG Lu(School of Statistics and Data Science,Xinjiang University of Finance and Economics,Urumqi 830012,China)

机构地区：[1]新疆财经大学统计与数据科学学院,乌鲁木齐830012

出　　处：《佳木斯大学学报（自然科学版）》2021年第4期97-101,165,共6页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金项目(61941205)。

摘　　要：基于双向异质频谱拍卖模型设计了具有隐私保护的频谱拍卖方案DPDA,在双向异质的频谱拍卖模型中,为了提高频谱拍卖的高效性和收益最大化,通常假设拍卖者是可信的,在此基础上的提交的所有买卖双方信息都将以明文状态提交给拍卖者,这将极大地增加了拍卖过程中个人隐私泄露的风险。DPDA方案有机结合了差分隐私机制和Diffie-Hellman算法使得该方案在原有模型的基础上达到了保护用户个人隐私的目的,并做了安全分析,证明了该方案的安全性,通过仿真实验结果表明该方案具有较好的频谱收益和隐私安全性。This scheme is based on the bi-directional heterogeneous spectrum auction model,and designs a spectrum auction scheme DPDA with privacy protection.In the bi-directional heterogeneous spectrum auction model,in order to improve the efficiency and maximize the revenue of spectrum auction,it is usually assumed that the auctioneer is credible.On this basis,all the information submitted by the buyer and seller will be submitted to the auctioneer in clear text,which greatly increases the risk of personal privacy disclosure in the process of auction.DPDA scheme organically combines differential privacy mechanism and Diffie-Hellman algorithm,which makes the scheme achieve the purpose of protecting user’s privacy on the basis of the original model.The security analysis proves the security of the scheme.The simulation results show that the scheme has good spectrum revenue and privacy security.

关 键 词：频谱拍卖 差分隐私 DIFFIE-HELLMAN算法 隐私安全 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]