从全生命周期管理角度看大数据安全技术研究

doi:10.11959/j.issn.2096-0271.2017047

大数据 ›› 2017, Vol. 3 ›› Issue (5): 3-19.doi: 10.11959/j.issn.2096-0271.2017047

• 专题：大数据安全和隐私保护 • 下一篇

从全生命周期管理角度看大数据安全技术研究

李树栋^1,²,贾焰²,吴晓波³,李爱平²,杨小东⁴,赵大伟⁵

¹ 广州大学网络空间先进技术研究院，广东广州 510006
² 国防科技大学计算机学院，湖南长沙 410073
³ 烟台职业学院信息工程系，山东烟台 264670
⁴ 西北师范大学计算机科学与工程学院，甘肃兰州 730070
⁵ 山东省计算中心（国家超级计算济南中心），山东济南 250014

出版日期:2017-09-20 发布日期:2017-10-24
作者简介:李树栋（1979-），男，博士，广州大学副教授，主要研究方向为网络与信息安全、社交网络分析、云计算安全等。|贾焰（1960-），女，博士，国防科技大学教授，主要研究方向为大数据、网络信息安全和社交网络。|吴晓波（1979-），女，就职于烟台职业学院信息工程系，主要研究方向为网络与信息安全。|李爱平（1974-），男，博士，国防科技大学研究员，主要研究方向为大数据安全、网络攻防和社交网络分析。|杨小东（1981-），男，博士，西北师范大学副教授，主要研究方向为密码学及云计算安全。|赵大伟（1986-），男，博士，就职于山东省计算中心（国家超级计算济南中心），主要研究方向为网络与信息安全、复杂网络。
基金资助:
国家自然科学基金资助项目(61672020);国家自然科学基金资助项目(61662069);国家自然科学基金资助项目(61472433);国家自然科学基金资助项目(61702309);中国博士后基金资助项目(2015T81129);中国博士后基金资助项目(2013M542560);山东省高等学校科技计划资助项目(J16LN61);国家重点研发计划资助项目(2017YFB0802204)

Techniques of big data security from the perspective of life cycle management

Shudong LI^1,²,Yan JIA²,Xiaobo WU³,Aiping LI²,Xiaodong YANG⁴,Dawei ZHAO⁵

¹ Cyberspace Institute of Advanced Technology,Guangzhou University,Guangzhou 510006,China
² School of Computer Science,National University of Defense Technology,Changsha 410073,China
³ School of Software Engineering,Yantai Vocational College,Yantai 264670,China
⁴ College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China
⁵ Shandong Computer Science Center (National Supercomputer Center in Ji’nan),Ji’nan 250014,China

Online:2017-09-20 Published:2017-10-24
Supported by:
The National Natural Science Foundation of China(61672020);The National Natural Science Foundation of China(61662069);The National Natural Science Foundation of China(61472433);The National Natural Science Foundation of China(61702309);China Postdoctoral Science Foundation(2015T81129);China Postdoctoral Science Foundation(2013M542560);Shandong Province Higher Educational Science and Technology Program(J16LN61);National Key Research and Development Plan(2017YFB0802204)

摘要/Abstract

摘要：

数据信息在生产、存储、使用、传输、共享、销毁等环节暴露出的大数据安全问题突出，成为了制约大数据应用发展的瓶颈。总结了世界各国的大数据安全发展战略；从大数据的全生命周期管理角度出发，重点聚焦于大数据的收集、存储、传输、使用、开放（访问控制、共享安全与隐私保护）、销毁和管理策略（体系和标准建设）等阶段，对当前大数据安全防护技术的研究现状和趋势进行阐述。给出了未来大数据安全技术研究需要解决的几个新问题。

关键词: 大数据安全, 存储安全, 传输安全, 共享安全, 隐私保护

Abstract:

The big data security problems during the process of data production,storage,use,transmission,sharing and destruction have been explored.Firstly,the development strategies of big data security worldwide were summarized.Second,from the perspective of the whole life cycle management,the current technical research and the progress of big data security protection were introduced by focusing on its collection,storage,transport,use and open sharing,destruction and management strategy.Finally,some new problems that need to be solved in the future research of big data security were discussed.

Key words: big data security, storage security, transmission security, shared security, privacy protection

中图分类号:

TP309

李树栋, 贾焰, 吴晓波, 李爱平, 杨小东, 赵大伟. 从全生命周期管理角度看大数据安全技术研究[J]. 大数据, 2017, 3(5): 3-19.

Shudong LI, Yan JIA, Xiaobo WU, Aiping LI, Xiaodong YANG, Dawei ZHAO. Techniques of big data security from the perspective of life cycle management[J]. Big Data Research, 2017, 3(5): 3-19.

图/表 1

参考文献 97

[1]	李国杰, 程学旗 . 大数据研究：未来科技及经济社会发展的重大战略领域[J]. 中国科学院院刊, 2012,27(6): 5-15.
	LI G J , CHENG X Q . Big data research:a major strategic area for future science,technology and economic and social development[J]. Bulletin of Chinese Academy of Sciences, 2012,27(6): 5-15.
[2]	王成红, 陈伟能, 张军 ,等. 大数据技术与应用中的挑战性科学问题[J]. 中国科学基金, 2014(2): 92-98.
	WANG C H , CHEN W N , ZHANG J ,et al. Challenging scientific problems for technologies and applications of big data[J]. Bulletin of National Natural Science Foundation of China, 2014(2): 92-98.
[3]	周季礼, 李德斌 . 国外大数据安全发展的主要经验及启示[J]. 信息安全与通信保密, 2015(6): 40-45.
	ZHOU J L , LI D B . Experience and enlightenment of foreign big data security development[J]. Information Security and Communications Privacy, 2015(6): 40-45.
[4]	张海粟, 戴剑伟, 刘玉超 ,等. 美国国防部大数据研发核心项目XDATA分析[C]// 第三届中国指挥控制大会,2015年7月7日—9日,北京,中国. 北京:中国指挥与控制学会, 2015: 20-24.
	ZHANG H L , DAI J W , LIU Y C ,et al. Survey of XDATA:a core big data research program of US DOD[C]// The 3rd China Conference on Command and Control,July 7-9,2015,Beijing,China. Beijing:Chinese Institute of Command and Control, 2015: 20-24.
[5]	张尼, 方滨兴 . 垃圾邮件过滤技术综述[C]// 2005全国网络与信息安全技术研讨会,2005年8月30-31日,北京,中国. 北京:[出版者不详], 2005.
	ZHANG N , FANG B X . Review of spam filtering technology[C]// 2005 National Symposium on Network and Information Security Technology,August 30-31,2005,Beijing,China.Beijing:[s.n.], 2005.
[6]	欧德宁 . 垃圾邮件过滤技术研究[D]. 济南:山东大学, 2009.
	OU D N . Research on spam filtering technology[D]. Ji’nan:Shandong University, 2009.
[7]	LI S D , YAN Z , WU X B ,et al. A method of emotional analysis of movie based on convolution neural network and bidirectional LSTM RNN[C]// 2017 IEEE Second International Conference on Data Science in Cyberspace,June 26-29,2017,Shenzhen,China. New Jersey:IEEE Press, 2017.
[8]	NIE Y P , JIA Y , LI S D ,et al. Identifying users across social networks based on dynamic core interests[J]. Neurocomputing, 2016(210): 107-115.
[9]	莫倩, 杨珂 . 网络水军识别研究[J]. 软件学报, 2014,25(7): 1505-1526.
	MO Q , YANG K . Overview of web spammer detection[J]. Journal of Software, 2014,25(7): 1505-1526.
[10]	BETHENCOURT J , SAHAI A , WATERS B . Ciphertext-policy attribute-based encryption[C]// 2007 IEEE Symposium on Security and Privacy,May 20-23,2007,Berkeley,USA. New Jersey:IEEE Press, 2007: 321-334.
[11]	GENTRY C , . Fully homomorphic encryption using ideal lattices[C]// The 41st Annual ACM Symposium on Theory of Computing,May 31-June 2,2009,Bethesda,USA. New York:ACM Press, 2009: 169-178.
[12]	STANTON P . Securing data in storage:a review of current research[J]. Computer Science, 2004:409034.
[13]	高伟 . 磁盘数据安全保护技术研究[D]. 上海:上海交通大学, 2008.
	GAO W . Research on the securityprotection data stored on hard disk[D]. Shanghai:Shanghai Jiao Tong University, 2008.
[14]	GOODSON G R , WYLIE J J , GANGER G R ,et al. The safety and liveness properties of a protocol family for versatile survivable storage infrastructures[R]. Pittsburgh:Carnegie Mellon University Parallel Data Laboratory, 2004.
[15]	MILLER E L , LONG D D E , FREEMAN W E ,et al. Strong security for networkattached storage[C]// Conference on File and Storage Technologies,January 28-30,2002,Monterey,USA.[S.l.:s.n.], 2002: 1-13.
[16]	WANG W , HUANG H , XIE C ,et al. Secure cloud disc:internet certification service on network attached flash file system[J]. Wit Transactions on Information＆ Communication Technologies, 2014,52: 1471-1478.
[17]	GANGER G R , KHOSLA P K , BAKKALOGLU M ,et al. Survivable storage systems[M].[S.l.:s.n.], 2001.
[18]	田洪亮, 张勇, 许信辉 ,等. 可信固态硬盘:大数据安全的新基础[J]. 计算机学报, 2016(1): 154-168.
	TIAN H L , ZHANG Y , XU X H ,et al. TrustedSSD:new foundation for big data security[J]. Chinese Journal of Computers, 2016(1): 154-168.
[19]	魏凯敏, 翁健, 任奎 . 大数据安全保护技术综述[J]. 网络与信息安全学报, 2016,2(4): 1-11.
	WEI K M , WENG J , REN K . Data security and protection techniques in big data:a survey[J]. Chinese Journal of Network and Information Security, 2016,2(4): 1-11.
[20]	CHASE M , . Multi-authority attribute based encryption[M]// Theory of Cryptography. Heidelberg:Springer, 2007: 515-534.
[21]	ZHANG R , MA H , LU Y . Fine-grained access control system based on fully outsourced attribute-based encryption[J]. Journal of Systems and Software, 2017,125: 344-353.
[22]	BLAZE M , BLEUMER G , STRAUSS M . Divertible protocols and atomic proxy cryptography[J]. Lecture Notes in Computer Science, 1998,1403: 127-144.
[23]	GE C , SUSILO W , WANG J ,et al. Identity-based conditional proxy reencryption with fine grain policy[J]. Computer Standards ＆ Interfaces, 2017,52: 1-9.
[24]	SUN Y , LIU D . Cryptanalysis on a secretsharing based conditional proxy reencryption scheme[J]. Mobile Networks and Applications, 2017,22(2): 209-215.
[25]	CANETTI R , RAGHURAMAN S , RICHELSON S ,et al. Chosen-ciphertext secure fully homomorphic encryption[C]// IACR International Workshop on Public Key Cryptography,March 28-31,2017,Amsterdam,Netherlands. Heidelberg:Springer, 2017: 213-240.
[26]	KOGOS K G , FILIPPOVA K S , EPISHKINA A V . Fully homomorphic encryption schemes:the state of the art[C]// 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus),February 1-3,2017,St.Petersburg,Russia. New Jersey:IEEE Press, 2017: 463-466.
[27]	CURTMOLA R , GARAY J , KAMARA S ,et al. Searchable symmetric encryption:improved definitions and efficient constructions[C]// ACM Conference on Computer and Communications Security,October 30-November 3,2006,Alexandria,USA. New York:ACM Press, 2006: 79-88.
[28]	DEMERTZIS I , PAPAMANTHOU C . Fast searchable encryption with tunable locality[C]// The 2017 ACM International Conference on Management of Data,May 14-19,2017,Chicago,USA. New York:ACM Press, 2017: 1053-1067.
[29]	ROMPAY C V , MOLVA R , ?NEN M . A leakage-abuse attack against multi-user searchable encryption[J]. Proceedings on Privacy Enhancing Technologies, 2017(3): 164-174.
[30]	ATENIESE G , BURNS R , CURTMOLA R ,et al. Provable data possession at untrusted stores[C]// The 14th ACM Conference on Computer and Communications Security,October 29-November 2,Alexandria,USA. New York:ACM Press, 2007: 598-609.
[31]	WANG B , LI B , LI H . Oruta:privacypreserving public auditing for shared data in the cloud[J]. IEEE Transactions on Cloud Computing, 2014,2(1): 43-56.
[32]	WANG B , LI B , LI H . Knox:privacypreserving auditing for shared data with large groups in the cloud[C]// The 10th International Conference on Applied Cryptography and Network Security,June 26-29,2012,Singapore.[S.l.:s.n. ], 2012: 507-525.
[33]	YUAN J , YU S . Efficient public integrity checking for cloud data sharing with multi-user modification[J]. IEEE Transactions on Information Forensics and Security, 2015,10(8): 1717-1726.
[34]	JIANG T , CHEN X , MA J . Public integrity auditing for shared dynamic cloud data with group user revocation[J]. IEEE Transactions on Computers, 2016,65(8): 2363-2373.
[35]	WANG Z , HAN Z , LIU J . Public verifiability for shared data in cloud storage with a defense against collusion attacks[J]. Science China Information Sciences, 2016,59(3): 1-3.
[36]	YUAN J , YU S . Efficient public integrity checking for cloud data sharing with multiuser modification[C]// The 33rd Annual IEEE International Conference on Computer Communications,April 27-May 2,2014,Toronto,Canada. New Jersey:IEEE Press, 2014: 2121-2129.
[37]	CURTMOLA R , KHAN O , BURNS R . MR-PDP:multiple replica provable data possession[C]// The 28th IEEE International Conference on Distributed Computing Systems,June 17-20,2008,Beijing,China. New Jersey:IEEE Press, 2008: 411-420.
[38]	ZHU Y , WANG H , HU Z ,et al. Efficient provable data possession for hybrid clouds[C]// The 17th ACM Conference on Computer and Communications Security,October 4-8,Chicago,USA. New York:ACM Press, 2010: 756-758.
[39]	冯登国, 张敏, 李昊 . 大数据安全与隐私保护[J]. 计算机学报, 2014,37(1): 246-258.
	FENG D G , ZHANG M , LI H . Big data security and privacy protection[J]. Chinese Journal of Computers, 2014,37(1): 246-258.
[40]	李昊, 张敏, 冯登国 ,等. 大数据访问控制研究[J]. 计算机学报, 2017,40(1): 72-91.
	LI H , ZHANG M , FENG D G ,et al. Research on access control of big data[J]. Chinese Journal of Computers, 2017,40(1): 72-91.
[41]	ZENG W , YANG Y , LUO B . Access control for big data using data content[C]// IEEE International Conference on Big Data,October 6-9,2013,Santa Clara,USA. New Jersey:IEEE Press, 2013: 45-47.
[42]	JASON P O . Horizontal integration:broader access models for realizing information dominance[R].[S.l.:s.n.], 2004.
[43]	FONG P W L , . Relationship-based access control:protection model and policy language[C]// The 1st ACM Conference on Data and Application Security and Privacy,February 21-23,2011,San Antonio,USA. New York:ACM Press, 2011: 191-202.
[44]	ZENG W , YANG Y , LUO B . Contentbased access control:use data content to assist access control for large-scale content-centric databases[C]// 2014 IEEE International Conference on Big Data,October 27-30,2014,Washington DC,USA. New Jersey:IEEE Press, 2014: 701-710.
[45]	BYUN J W , LI N . Purpose based access control for privacy protection in relational database systems[J]. The International Journal on Very Large Data Bases, 2008,17(4): 603-619.
[46]	PARK J , NGUYEN D , SANDHU R . A provenance-based access control model[C]// 2012 Tenth Annual International Conference on Privacy,Security and Trust,July 16-18,2012,Paris,France. New Jersey:IEEE Press, 2012: 137-144.
[47]	SANDHU R S , COYNE E J , FEINSTEIN H L ,et al. Role-based access control models[J]. Computer, 1996,29(2): 38-47.
[48]	WANG L , WIJESEKERA D , JAJODIA S . A logic-based framework for attribute based access control[C]// The 2004 ACM Workshop on Formal Methods in Security Engineering,October 29,2004,Washington DC,USA. New York:ACM Press, 2004: 45-55.
[49]	HU V C , KUHN D R , FERRAIOLO D F . Attribute-based access control[J]. Computer, 2015,48(2): 85-88.
[50]	LI J , SQUICCIARINI A , LIN D ,et al. SecLoc:securing location-sensitive storage in the cloud[C]// The 20th ACM Symposium on Access Control Models and Technologies,June 1-3,2015,Vienna,Austria. New York:ACM Press, 2015: 51-61.
[51]	刘川意, 潘鹤中, 梁露露 ,等. 基于小云审大云的云平台可信评测体系结构与技术研究[J]. 网络与信息安全学报, 2016,2(10): 36-47.
	LIU C Y , PAN H Z , LIANG L L ,et al. Cloud trustworthiness evaluation as a cloud service:architecture,key technologies and implementations[J]. Chinese Journal of Network and Information Security, 2016,2(10): 36-47.
[52]	MUNIER M , LALANNE V , RICARDE M . Self-protecting documents for cloud storage security[C]// IEEE International Conference on Trust,Security and Privacy in Computing and Communications,June 25-27,2012,Liverpool,UK. New Jersey:IEEE Press, 2012: 1231-1238.
[53]	KROHN M , YIP A , BRODSKY M ,et al. Information flow control for standard OS abstractions[C]// The 21st ACM Symposium on Operating Systems Principles,October 14-17,2007,Washington,USA. New York:ACM Press, 2007.
[54]	PASQUIER T , BACON J , EYERS D . FlowK:information flow control for the cloud[J]. Working Paper, 2014: 70-77.
[55]	PASQUIER J M , POWLES J E . Expressing and enforcing location requirements in the cloud using information flow control[C]// IEEE International Conference on Cloud Engineering,March 9-12,2015,Tempe,USA. New Jersey:IEEE Press, 2015: 410-415.
[56]	张大军, 李运发, 郑周 . 云计算中数据资源的安全共享机制[J]. 信息网络安全, 2012(8): 79-82.
	ZHANG D J , LI Y F , ZHENG Z . A secure sharing mechanism for data resources in cloud computing[J]. Netinfo Security, 2012(8): 79-82.
[57]	JIA P H , JIN-SONG M A . Research on technical method of hiding watermark in GIS spatial data for sharing security[J]. Bulletin of Surveying ＆ Mapping, 2007(2):208.
[58]	张璐, 李晓勇, 马威 ,等. 政府大数据安全保护模型研究[J]. 信息网络安全, 2014(5): 63-67.
	ZHANG L , LI X Y , MA W ,et al. Research on the security model on big data in government[J]. Netinfo Security, 2014(5): 63-67.
[59]	NARAYAN S , SAFAVI-NAINI R , . Privacy preserving EHR system using attributebased infrastructure[C]// The 2nd ACM Cloud Computing Security Workshop,October 8,2010,Chicago,USA. New York:ACM Press, 2010: 47-52.
[60]	雷婉 . 权限分离的医疗数据安全共享机制研究与实现[D]. 西安:西安电子科技大学, 2015.
	LEI W . Research and implementation of medical data security sharing mechanism based on privilege separation[D]. Xi’an:Xidian University, 2015.
[61]	王璐, 孟小峰 . 位置大数据隐私保护研究综述[J]. 软件学报, 2014,25(4): 693-712.
	WANG L , MENG X F . Location privacy preservation in big data era:a survey[J]. Journal of Software, 2014,25(4): 693-712.
[62]	CULNAN M J , ARMSTRONG P K . Information privacy concerns,procedural fairness,and impersonal trust:an empirical investigation[J]. Organization Science, 1999,10(1): 104-115.
[63]	CASAS-ROMA J , HERRERAJOANCOMARTI J , TORRA V . A summary of k-degree anonymous methods for privacy-preserving on networks[J]. Advanced Research in Data Privacy, 2015,567: 231-250.
[64]	FUNG B C M , WANG K , FU W C ,et al. Anonymity for continuous data publishing[C]// The 11th International Conference on Extending Database Technology,March 25-29,2008,Nantes,France. New York:ACM Press, 2008: 264-275.
[65]	GORYCZKA S , LI X , FUNG B C M . m-Privacy for collaborative data publishing[J]. International Conference on Collaborative Computing:Networking, 2011,26(10): 1-10.
[66]	BHATTACHARYYA D K , . Decomposition+:improving l-diversity for multiple sensitive attributes[C]// CCSIT 2012,January 2-4,2012,Bangalore,India. Heidelberg:Springer, 2012: 403-412.
[67]	YI T , SHI M . Privacy protection method for multiple sensitive attributes based on strong rule[J]. Mathematical Problems in Engineering, 2015(5):464731.
[68]	方滨兴, 贾焰, 李爱平 ,等. 大数据隐私保护技术综述[J]. 大数据, 2016,2(1): 1-18.
	FANG B X , JIA Y , LI A P ,et al. Privacy preservation in big data:a survey[J]. Big Data Research, 2016,2(1): 1-18.
[69]	李凤华, 李晖, 贾焰 ,等. 隐私计算研究范畴及发展趋势[J]. 通信学报, 2016,37(4): 1-11.
	LI F H , LI H , JIA Y ,et al. Privacy computing:concept,connotation and its research trend[J]. Journal on Communications, 2016,37(4): 1-11.
[70]	LEFEVRE K , DEWITT D J , RAMAKRISHNAN R . Mondrian multidimensional k-anonymity[J]. International Conference on Data Engineering, 2006,6(3):25.
[71]	MACHANAVAJJHALA A , KIFER D , GEHRKE J . L-diversity:privacy beyond k-anonymity[C]// The 22nd International Conference on Data Engineering,April 3-7,2006,Atlanta,USA. New Jersey:IEEE Press, 2006.
[72]	ZENG K . Publicly verifiable remote data integrity[J]. Lecture Notes in Computer Science, 2008,5308: 419-434.
[73]	LI N H , LI T C , VENKATASUBRAMANIAN S . t-Closeness:privacy beyond k-anonymity and l-diversity[C]// The 23rd International Conference on Data Engineering,April 15-20,2007,Istanbul,Turkey. New Jersey:IEEE Press, 2007: 106-115.
[74]	张小松, 杨浩淼, 汪小芬 . 面向大数据安全的密码技术研究[J]. 信息安全研究, 2015,1(3): 238-244.
	ZHANG X S , YANG H M , WANG X F . Research of cryptography technologies for big data security[J]. Journal of Information Security Research, 2015,1(3): 238-244.
[75]	CHENG J , FU W C , LIU J . K-isomorphism:privacy preserving network publication against structural attacks[C]// 2010 ACM SIGMOD/PODS Conference,June 6-11,2010,Indianapolis,USA. New York:ACM Press, 2010: 459-470.
[76]	LV L , ZHOU T . Link prediction in weighted networks:the role of weak ties[J]. Epl, 2010,89(1):18001.
[77]	CLAUSET A , MOORE C , NEWMAN M E . Hierarchical structure and the prediction of missing links in networks[J]. Nature, 2008,453(7191):98.
[78]	WANG P , XU B W , WU Y R ,et al. Link prediction in social networks:the stateof-the-art[J]. Science China Information Sciences, 2015,58(1): 1-38.
[79]	赵姝, 刘晓曼, 段震 ,等. 社交关系挖掘研究综述[J]. 计算机学报, 2017,40(3): 535-555.
	ZHAO S , LIU X M , DUAN Z ,et al. A survey on social ties mining[J]. Chinese Journal of Computers, 2017,40(3): 535-555.
[80]	程燕 . 大数据时代社交网络隐私保护问题研究[J]. 计算机科学, 2014,41(10A): 74-78.
	CHENG Y . Research on digital forensic of cloud crime[J]. Computer Science, 2014,41(10A): 74-78.
[81]	PERLMAN R , . File system design with assured delete[C]// IEEE International Security in Storage Workshop,December 13-15,2005,San Francisco,USA. New Jersey:IEEE Press, 2005: 83-88.
[82]	PERLMAN R . The ephemerizer:making data disappear[R]. Mountain View:Sun Microsystems,Inc., 2005.
[83]	GEAMBASU R , KOHNO T , LEVY A ,et al. Vanish:increasing data privacy with selfdestructing data[C]// The 18th USENIX Security Symposium,August 10-14,2009,Montreal,Canada.[S.l.:s.n],. 2009: 299-316.
[84]	YANG T , LEE P P C , LUI J C S ,et al. FADE:secure overlay cloud storage with file assured deletion[M]// International Conference on Security and Privacy in Communication Systems. Heidelberg:Springer, 2010.
[85]	TANG Y , LEE P P C , LUI J C S ,et al. Secure overlay cloud storage with access control and assured deletion[J]. IEEE Transactions on Dependable ＆ Secure Computer, 2012,9(6): 903-916.
[86]	CACHIN C , HARALAMBIEV K , HSIAO H C ,et al. Policy-based secure deletion[C]// ACM SIGSAC Conference on Computer ＆Communications Security,November 4-8,2013,Berlin,Germany. New York:ACM Press, 2013: 259-270.
[87]	XIOMG J B , LIU X M , YAO Z Q ,et al. A secure data self-destructing scheme in cloud computing[J]. IEEE Transactions on Cloud Computing, 2015,2(4): 448-458.
[88]	CHEN H S , BHARGAVA B , FU Z C . Multilabels-based scalable access control for big data applications[J]. IEEE Cloud Computing, 2014,1(3): 65-71.
[89]	张静, 张洪亮 . 基于密码技术的健康医疗大数据安全保障体系研究[J]. 信息安全研究, 2017,3(7): 652-656.
	ZHANG J , ZHANG H L . Research on security system of healthcare big data based on cryptographic technique[J]. Journal of Information Security Research, 2017,3(7): 652-656.
[90]	陶冶, 张云勇, 张尼 . 运营商大数据安全防护技术研究[J]. 邮电设计技术, 2014(7): 43-46.
	TAO Y , ZHANG Y Y , ZHANG N . Study on big data protection technology of telecom operators[J]. Designing Techniques of Posts and Telecommunications, 2014(7): 43-46.
[91]	张滨 . 运营商大数据安全保障体系研究[J]. 电信工程技术与标准化, 2016,29(12): 1-7.
	ZHANG B . Study on big data security system operation[J]. Telecom Engineering Technics and Standardization, 2016,29(12): 1-7.
[92]	裴金栋, 赵旺飞 . 运营商大数据安全管理策略研究[J]. 移动通信, 2016,40(21): 5-10.
	PEI J D , ZHAO W F . Research on big data security management strategy for telecom operators[J]. Mobile Communications, 2016,40(21): 5-10.
[93]	LANG U , SCHREINER R . Managing security in intelligent transport systems[C]// IEEE International Conference on Intelligent Transportation Systems,September 15-18,2015,Gran Canaria,Canary Islands. New Jersey:IEEE Press, 2015: 48-53.
[94]	宋珊珊 . 智能交通大数据安全挑战[J]. 中国公共安全(学术版), 2015(4): 74-76.
	SONG S S . Security challenges of intelligent transportation big data[J]. China Public Security, 2015(4): 74-76.
[95]	陈红松, 韩至, 邓淑宁 . 智慧城市中大数据安全分析与研究[J]. 信息网络安全, 2015(7): 1-6.
	CHEN H S , HAN Z , DENG S N . Analysis and research on big data security in smart city[J]. Netinfo Security, 2015(7): 1-6.
[96]	吕欣, 韩晓露, 毕钰 ,等. 大数据安全保障框架与评价体系研究[J]. 信息安全研究, 2016,2(10): 913-919.
	LV X , HAN X L , BI Y ,et al. Research on the framework and evaluation system of big data security assurance[J]. Journal of Information Security Research, 2016,2(10): 913-919.
[97]	叶润国, 胡影, 韩晓露 ,等. 大数据安全标准化研究进展[J]. 信息安全研究, 2016,2(5): 404-411.
	YE R G , HU Y , HAN X L ,et al. Survey and research on big data security standardization[J]. Journal of Information Security Research, 2016,2(5): 404-411.

从全生命周期管理角度看大数据安全技术研究

Techniques of big data security from the perspective of life cycle management

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 97

相关文章 15

Metrics

推荐阅读 0

[1]	张传尧, 司世景, 王健宗, 肖京. 联邦元学习综述[J]. 大数据, 2023, 9(2): 122-146.
[2]	吴建汉, 司世景, 王健宗, 肖京. 联邦学习攻击与防御综述[J]. 大数据, 2022, 8(5): 12-32.
[3]	阮雯强, 徐铭辛, 涂新宇, 宋鲁杉, 韩伟力. 数据租赁——数据流通的新方式[J]. 大数据, 2022, 8(5): 3-11.
[4]	李懿, 王劲松, 张洪玮. 基于区块链与函数加密的隐私数据安全共享模型研究[J]. 大数据, 2022, 8(5): 33-44.
[5]	朱智韬, 司世景, 王健宗, 肖京. 联邦推荐系统综述[J]. 大数据, 2022, 8(4): 105-132.
[6]	王健宗, 孔令炜, 黄章成, 陈霖捷, 刘懿, 卢春曦, 肖京. 联邦学习隐私保护研究进展[J]. 大数据, 2021, 7(3): 130-149.
[7]	乐洁玉, 罗超洋, 丁静姝, 李卿. 教育大数据隐私保护机制与技术研究[J]. 大数据, 2020, 6(6): 52-63.
[8]	汪靖伟, 郑臻哲, 吴帆, 陈贵海. 基于区块链的数据市场[J]. 大数据, 2020, 6(3): 21-35.
[9]	孙慧中, 杨健宇, 程祥, 苏森. 一种基于随机投影的本地差分隐私高维数值型数据收集算法[J]. 大数据, 2020, 6(1): 3-11.
[10]	王平, 张玉书, 何兴, 仲盛. 基于安全压缩感知的大数据隐私保护[J]. 大数据, 2020, 6(1): 12-22.
[11]	卢文雄, 王浩宇. 基于同源策略的移动应用细粒度隐私保护技术[J]. 大数据, 2020, 6(1): 23-34.
[12]	鲍旭华, 曲晓东, 郑新华. 大数据驱动的安全协同生态建设[J]. 大数据, 2018, 4(3): 93-100.
[13]	王智慧, 周旭晨, 朱云. 数据自治开放模式下的隐私保护[J]. 大数据, 2018, 4(2): 42-49.
[14]	祝烈煌, 董慧, 沈蒙. 区块链交易数据隐私保护机制[J]. 大数据, 2018, 4(1): 46-56.
[15]	李康, 孙毅, 张珺, 李军, 周继华, 李忠诚. 零知识证明应用到区块链中的技术挑战[J]. 大数据, 2018, 4(1): 57-65.