认知无线电网络中基于SpaceTwist的位置隐私保护方案

doi:10.3969/j.issn.1671-1122.2019.02.003

信息网络安全 ›› 2019, Vol. 19 ›› Issue (2): 18-27.doi: 10.3969/j.issn.1671-1122.2019.02.003

认知无线电网络中基于SpaceTwist的位置隐私保护方案

许力^1,²(), 朱瑞^1,², 曾雅丽^1,²

1.福建师范大学数学与信息学院,福建福州350007
2.福建省网络安全与密码技术重点实验室,福建福州350007

收稿日期:2018-11-16 出版日期:2019-02-10 发布日期:2020-05-11
作者简介:
作者简介：许力（1970—）, 男,福建,教授, 博士, 主要研究方向为网络与信息安全、无线网络与通信、云计算与物联网等;朱瑞（1995—）, 女,福建, 硕士研究生, 主要研究方向为网络与信息安全;曾雅丽（1990—）,女,福建,博士研究生,主要研究方向为网络与信息安全。
基金资助:
国家自然科学基金面上资助项目[61771140];国家自然科学基金海峡联合基金重点资助项目[U1405255];福州市科技重大项目[榕科（2017）325号]

Location Privacy-preserving Scheme Based on SpaceTwist in Cognitive Radio Network

Li XU^1,²(), Rui ZHU^1,², Yali ZENG^1,²

1. College of Mathematics and Informatics, Fujian Normal University, Fuzhou Fujian 350007, China
2. Fujian Provincial Key Laboratory of Network Security and Cryptology, Fuzhou Fujian 350007, China

Received:2018-11-16 Online:2019-02-10 Published:2020-05-11

摘要/Abstract

摘要：

针对数据库驱动的认知无线电网络（Cognitive Radio Network,CRN）中存在的位置隐私泄露问题,文章提出一种基于SpaceTwist的隐私保护方案。该方案借助查询服务器,以锚点为中心向数据库展开增量近邻查询,以获得锚点周围的主用户可用信道。数据库将查询结果返回给查询服务器,查询服务器根据最大传输功率公式判断次用户周围的可用信道,并根据次用户允许发送的功率进行信道分配,使次用户接入服务质量最好的信道。安全分析表明,文章方案中次用户无需与数据库共享位置,从而很好地保护了次用户的位置隐私。性能分析表明,与现有其他方案相比,文章方案在通信开销和次用户的计算开销方面具有明显优势。

关键词: 认知无线电网络, 位置隐私, SpaceTwist, 锚点

Abstract:

Aiming at the problem of location privacy leakage in database-driven cognitive radio network (CRN), this paper proposes a privacy-preserving scheme based on SpaceTwist. With the help of query server, the scheme expands incremental nearest neighbor query to database centered on anchor to obtain the available channels for primary users around anchor. The database returns the query results to the query server. The query server judges the available channels around the secondary user according to the formula of maximum transmission power, and allocates the channels according to the power allowed by the secondary user, so that the secondary user can access the channel with the best service quality. Security analysis shows that the secondary user does not need to share location with the database in this scheme, which well protects the location privacy of secondary user. Performance analysis shows that compared with other existing schemes, the proposed scheme has obvious advantages in communication overhead and computing overhead of secondary user.

Key words: cognitive radio network, location privacy, SpaceTwist, anchor

中图分类号:

TP309

许力, 朱瑞, 曾雅丽. 认知无线电网络中基于SpaceTwist的位置隐私保护方案[J]. 信息网络安全, 2019, 19(2): 18-27.

Li XU, Rui ZHU, Yali ZENG. Location Privacy-preserving Scheme Based on SpaceTwist in Cognitive Radio Network[J]. Netinfo Security, 2019, 19(2): 18-27.

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参考文献 22

[1]	MITOLA J, MAGUIRE G Q.Cognitive Radio: Making Software Radios More Personal[J]. IEEE Personal Communiactions, 1999,6(4):13-18.
[2]	AKYILDIZ I F, LO B F, BALAKRISHNAN R.Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey[J]. Physical Communication,2011, 4(1): 40-62.
[3]	RAO Xuli, LIN Hui, TIAN Youliang, et al.Research on a Trusted Collaborative Second Users Selection Strategy in Distributed Cognitive Radio Networks[J].Netinfo Security, 2018,18(10):37-44.
	饶绪黎,林晖,田有亮,等.分布式认知无线电网络中的一种可信协作次用户选取策略研究[J].信息网络安全,2018,18(10):37-44.
[4]	Federal Communications Commission.Third Memorandum Opinion and Order[R].Washington: Federal Communications Commission, FCC-12-36,2012.
[5]	CHEN V, DAS S, ZHU Lei, et al.Protocol to Access White-space (PAWS) Databases[R].USA: Internet Engineering Task Force, Fremont, RFC 7545, 2015.
[6]	MURTY R, CHANDRA R.Senseless: A Database-driven White Spacesnetwork[J]. IEEE Transactions on Mobile Computing, 2011, 11(2):189-203.
[7]	GRISSA M, YAVUZ A A, HAMDAOUI B.Cuckoo Filter-based Location-privacy Preservation in Database-driven Cognitive Radio Networks[C]//IEEE. 2015 World Symposium on Computer Networks and Information Security (WSCNIS), September 19-21, 2015, Hammamet, Tunisia. NJ: IEEE, 2015,1-7.
[8]	WU Shasha, XIONG Jinbo, YE Guohua,et al.Research on Location Privacy Protection Based on Dummy Locations in Mobile Internet Environment[J].Netinfo Security, 2016,16(10):54-59.
	吴莎莎,熊金波,叶帼华,等.移动互联网环境下基于假位置的位置隐私保护研究[J].信息网络安全,2016,16(10):54-59.
[9]	AGUILARMELCHOR C, BARRIER J, FOUSSE L, et al.Xpir: Private Information Retrieval for Everyone[J]. Proceedings on Privacy Enhancing Technologies,2016(2):155-174.
[10]	ZANG Hui, BOLOT J.Anonymization of Location Data Does Not Work: a Large-scale Measurement Study[C]//ACM. The 17th Annual International Conference on Mobile Computing and Networking, September 19-23, 2011, Las Vegas, Nevada, USA. New York: ACM, 2011:145-156.
[11]	PONTARELLI S, REVIRIEGO P, JUANANTONIO M.Parallel d-Pipeline: a Cuckoo Hashing Implementation for Increased Throughput[J]. IEEE Transactions on Computers, 2016, 65(1):326-331.
[12]	GAO Zhaoyu, ZHU Haojin, LIU Yao, et al.Location Privacy in Database-driven Cognitive Radio Networks: Attacks and Countermeasures[C]// IEEE. 2013 Proceedings IEEE INFOCOM, April 14-19, 2013, Turin, Italy. NJ:IEEE, 2013:2751-2759.
[13]	TROJA E, SPIRIDON B.Leveraging P2P Interactions for Efficient Location Privacy in Database-driven Dynamic Spectrum Access[J]. International Journal of Network Security, 2014, 17(5):569-579.
[14]	GRISSA M, YAVUZ A A, HAMDAOUI B.Location Privacy Preservation in Database-driven Wireless Cognitive Networks through Encrypted Probabilistic Data Structures[J]. IEEE Transactions on Cognitive Communications & Networking, 2017, 3(2): 255-266
[15]	PETROV D, ZNATI T.Location Privacy Preserving Protocols in Database-enabled Cognitive Radio Networks[C]//IEEE. The 13th International Wireless Communications and Mobile Computing Conference, June 26-30, 2017, Valencia, Spain.NJ:IEEE,2017:147-152.
[16]	YIU M L, JENSEN C S, HUANG Xuegang, et al.Spacetwist: Managing the Trade-offs among Location Privacy, Query Performance, and Query Accuracy in Mobile Services[C]// IEEE. 2008 IEEE 24th International Conference on Data Engineering, April 7-12,2008, Cancun, Mexico. NJ:IEEE, 2008:366-375.
[17]	EMMA F. Route Choice Analysis: Data, Models,Algorithmsand Applications[EB/OL].,2018-9-20.
[18]	NIU Ben, LI Qinghua, ZHU Xiaoyan, et al.Achieving k-anonymity in Privacy-aware Location-based Services[C]//IEEE. IEEE INFOCOM 2014-IEEE Conference on Computer Communications, April 27-May 2, 2014, Toronto, ON, Canada.NJ:IEEE,2014: 754-762.
[19]	BAHRAK B, BHATTARAI S, ULLAH A.Protecting the Primary Users’ Operational Privacy in Spectrum Sharing[C]//IEEE. 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN), April 1-4, 2014 , McLean, VA, USA.NJ:IEEE,2014:236-247.
[20]	Federal Communications Commission.Enabling Innovative Small Cell Use in 3.5 GHZ Band NPRM & Order[R]. Washington: Federal Communications Commission, FCC 12-148,2012.
[21]	Electronic Code of Federal Regulations. Subchapter A: Part 15-Television Band Devices[R].Washington: Federal Communications Commission, FCC 752-871,2015.
[22]	ZHOU Changli, MA Chunguang, YANG Songtao.Research on LBS Location Privacy Protection Method Based on Sensitive Location Diversity[J]. Journal on Communications, 2015, 36(4):125-136.
	周长利,马春光,杨松涛.基于敏感位置多样性的LBS位置隐私保护方法研究[J].通信学报, 2015, 36(4):125-136.

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符号	含义
m	数据库覆盖范围的区域单元个数
s	总信道条数
ρ	可用信道占总信道条数的百分比
α	需求空间的半径
β	供应空间的半径
n	INN查询单次返回的信道条数

认知无线电网络中基于SpaceTwist的位置隐私保护方案

Location Privacy-preserving Scheme Based on SpaceTwist in Cognitive Radio Network

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