MastDP: Matching Based Double Auction Mechanism for Spectrum Trading with Differential Privacy

MastDP: Matching Based Double Auction Mechanism for Spectrum Trading with Differential Privacy
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DOI:
10.1109/globecom38437.2019.9013917
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发表时间:
2019-12
期刊:
2019 IEEE Global Communications Conference (GLOBECOM)
影响因子:
--
通讯作者:
Feng Hu;Bing Chen;Jingyi Wang;Ming Li;P. Li;M. Pan
Feng Hu;Bing Chen;Jingyi Wang;Ming Li;P. Li;M. Pan
中科院分区:
其他
文献类型:
--
作者:
Feng Hu;Bing Chen;Jingyi Wang;Ming Li;P. Li;M. Pan

文献摘要

相似文献

拍卖机制被认为是解决频谱稀缺问题的有效方法。众多的频谱拍卖机制在考虑真实性、社会福利最大化和频谱可重用性的基础上缓解了频谱短缺问题,但对主用户/次用户的隐私保护和偏好尚未进行充分讨论。在本文中,我们提出了一个基于匹配的双重拍卖机制的频谱交易与差分隐私(MastDP),以保护隐私的买家/卖家从不可信的拍卖者,其他买家/卖家和其他潜在的当事人。每个参与者将遵循Geom(α)分布的分布式差分私有噪声添加到他的出价值,并加密有噪声的出价值。拍卖人只能解密所有上传的噪声出价值的总和,并通过使用其私钥来确定清算价格。该算法在清算价格的基础上,采用匹配理论,在充分考虑参与者偏好和频谱复用的同时,最大化获胜参与者的收益。仿真结果表明,MastDP协议在经济属性隐私保护和频谱交易效率方面取得了令人满意的性能。
The auction mechanism is deemed to be an effective method to address the problem of spectrum scarcity. Numerous spectrum auction mechanisms can alleviate spectrum shortage under the consideration of truthfulness, social welfare maximization and spectrum reusability, while the privacy preservation and preferences of primary/secondary users have not been fully discussed. In this paper, we propose a matching based double auction mechanism for spectrum trading with differential privacy (MastDP) to protect the privacy of buyers/sellers from the untrustworthy auctioneer, other buyers/sellers and other potential parties. Each participant adds distributed differential private noise following Geom(α) distribution to his bid value and encrypts the noisy bid value. The auctioneer can decrypt only the sum of all uploaded noisy bid values and determines the clearing price by using its private key. Based on the clearing price, the matching theory is adopted to maximize the winning participants' revenue while fully considering their preferences and spectrum reuse. Simulation results show that MastDP achieves satisfactory performance in terms of economic properties' privacy preservation and spectrum trading efficiency.