Privacy Preserving Algorithm for Spectrum Sensing in Cognitive Vehicle Networks

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外文摘要：The scarcity of spectrum resources fails to meet the increasing throughput demands of vehicular net-works.There is an urgent need to maximize the utilization of spectrum bands in mobile networks.To ascertain the availability of spectrum bands,users should engage in wireless channel sensing and collaboration.However,spectrum sensing data always involves users'privacy,such as their location.This paper first introduces sensing trajectory infer-ence attack in cognitive vehicular networks and then proposes a data confusion-based privacy-preserving algorithm and a cryptonym array-based privacy-preserving aggregation scheme for spectrum sensing in cognitive vehicular net-works.Unlike existing methods,the proposed schemes transmit confused data during the aggregation process.This deliberate obfuscation makes it almost impossible to infer users'location from the transmitted data.The analysis demonstrates the resilience of the proposed schemes against sensing trajectory inference attack.

外文关键词：

Location privacy preservationCognitive radio networkCooperative spectrum sensing

作者：

Hongning LI、Tonghui HU、Jiexiong CHEN、Xiuqiang WU、Qingqi PEI

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作者单位：

Guangzhou Institute of Technology,Xidian University,Guangzhou 510555,China

Guangzhou CEPREI,Guangzhou 511370,China

Shaanxi Key Laboratory of Blockchain and Secure Computing,Xi'an 710071,China

基金：

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaKey Research and Development Programs of ShaanxiHighlevel Innovation Research Institute Project

项目编号：

2021YFB2700600619022922021Z DLGY06-032021B0909050008

出版年：

2024

DOI：

10.23919/cje.2022.00.007

电子学报(英文)

CSTPCDEI

ISSN：1022-4653

年,卷(期)：2024.33(1)

参考文献量44