全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2017 

支持加密搜索的定向息票安全投放框架
A Framework of Secure Delivery Service for Targeted Coupons with Encrypted Search

DOI: 10.7652/xjtuxb201702003

Keywords: 隐私安全,息票投放,定向投放,加密搜索,行为数据
privacy security
,coupon delivery,targeted delivery,encrypted search,behavioral data

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对移动终端息票定向投放服务中的隐私安全问题,提出一种支持加密搜索的定向息票安全投放框架。该框架根据息票定向投放过程中不同阶段的安全需求,通过使用多密钥可搜索加密技术实现移动终端用户只需要提交单个加密请求,就能在息票平台中对来自不同商家的加密息票进行安全高效的搜索,降低了系统的通信开销;同时结合局部敏感哈希技术和口令认证密钥交换协议,保证只有行为数据满足商家息票投放策略的移动用户才能获得息票,保护了移动终端用户的行为数据隐私和商家的息票投放策略。理论分析证明了该框架的安全性。实验结果表明,移动用户使用该框架获取10个商家的息票时所需计算时间为57.8 ms,带宽为2.9 KiB,能耗为8.7 J。所提框架在息票定向投放服务的安全性和性能方面取得了很好的平衡,适合在移动终端上使用,对设计安全、实用的定向投放应用具有一定的理论和实际意义。
A framework of secure delivery service of targeted coupons with encrypted search is proposed to solve privacy issues of users and vendors in delivery service of mobile targeted coupons. The proposed framework adopts a newly developed cryptographic primitive, called multi??key searchable encryption, which ensures that a user only needs to submit a single encrypted request to the coupon site so as to conduct secure and effective search over encrypted coupons from different vendors. Meanwhile, the framework ensures that eligible users can obtain targeted coupons without leaking their behavioral data while non??eligible users learn nothing beyond their non??eligibility status by combining locality??sensitive hashing with password authenticated key exchange. Theoretical analysis proves the security of the proposed framework. Extensive experiments show that when a mobile user obtains coupons from 10 different vendors, the computation cost of the proposed framework is 57??8 ms, bandwidth cost 2??9 KiB, and energy cost 8??7 J. The proposed framework provides a well??balanced tradeoff between security and efficiency, and has certain theoretical and practical significance for the design of secure and practical targeted delivery systems

References

[1]  [4]张学军, 桂小林, 伍忠东. 位置服务隐私保护研究综述 [J]. 软件学报, 2015, 26(9): 2373??2395.
[2]  [7]BACKES M, KATE A, MAFFEI M, et al. Obliviad: provably secure and practical online behavioral advertising [C]∥Proceedings of the 33rd IEEE Symposium on Security and Privacy. Piscataway, NJ, USA: IEEE, 2012: 257??271.
[3]  [9]RANE S, UZUN E. A fuzzy commitment approach to privacy preserving behavioral targeting [C]∥Proceedings of the ACM MobiCom Workshop on Security and Privacy in Mobile Environments. New York, USA: ACM, 2014: 31??35.
[4]  [12]LIU J, ASOKAN N, PINKAS B. Secure deduplication of encrypted data without additional independent servers [C]∥Proceedings of the 22nd ACM Conference on Computer and Communications Security. New York, USA: ACM, 2015: 874??885.
[5]  [1]柳欣, 徐秋亮. 实用的强不可分割多重息票方案 [J]. 计算机研究与发展, 2012, 49(12): 2575??2590.
[6]  [8]PARTRIDGE K, PATHAK M A, UZUN E, et al. Picoda: privacy??preserving smart coupon delivery architecture [C]∥Proceedings of the 5th Workshop on Hot Topics in Privacy Enhancing Technologies. Berlin, Germany: Springer??Verlag, 2012: 94??108.
[7]  [10]CURTMOLA R, GARAY J, KAMARA S, et al. Searchable symmetric encryption: improved definitions and efficient constructions [C]∥Proceedings of the 13th ACM Conference on Computer and Communications Security. New York, USA: ACM, 2006: 79??88.
[8]  [11]POPA R A, ZELDOVICH N. Multi??key searchable encryption [EB/OL]. (2013??08??17)[2016??09??05]. http:∥eprint. iacr??org/2013/508??pdf.
[9]  [13]ABDALLA M, POINTCHEVAL D. Simple password??based encrypted key exchange protocols [C]∥Proceedings of the the Cryptographers’ Track at the RSA Conference. Berlin, Germany: Springer??Verlag, 2005: 191??208.
[10]  LIU Xin, XU Qiuliang. Practical multi??coupon schemes with strong unsplittability [J]. Journal of Computer Research and Development, 2012, 49(12): 2575??2590.
[11]  [2]ALISON G. Millennials use coupons more than their parents [EB/OL]. (2014??03??07) [2016??08??05]. http: ∥www??businessinsider??com/millennials??use??coupons??more??than??parents??2014??3.
[12]  [3]周傲英, 周敏奇, 宫学庆. 计算广告: 以数据为核心的Web综合应用 [J]. 计算机学报, 2011, 34(10): 1805??1819.
[13]  ZHOU Aoying, ZHOU Minqi, GONG Xueqing. Computational advertising: a data??centric comprehensive web application [J]. Chinese Journal of Computers, 2011, 34(10): 1805??1819.
[14]  [5]张学军, 桂小林, 冯志超, 等. 位置服务中的查询隐私度量框架研究 [J]. 西安交通大学学报, 2014, 48(2): 8??13.
[15]  ZHANG Xuejun, GUI Xiaolin, FENG Zhichao, et al. A quantifying framework of query privacy in location??based service [J]. Journal of Xi’an Jiaotong University, 2014, 48(2): 8??13.
[16]  [6]GUHA S, CHENG B, FRANCIS P. Privad: practical privacy in online advertising [C]∥Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation. Berkeley, CA, USA: USENIX Association, 2011: 169??182.
[17]  ZHANG Xuejun, GUI Xiaolin, WU Zhongdong. Privacy preservation for location??based service: a survey [J]. Journal of Software, 2015, 26(9): 2373??2395.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133