Protection of big data privacy

IEEE Access

Volumn 4, Issue , 2016, Pages 1821-1834

  Mehmood, Abid ^a   Natgunanathan, Iynkaran ^a   Xiang, Yong ^a   Hua, Guang ^b   Guo, Song ^c  

^a DEAKIN UNIVERSITY   (Australia)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c UNIVERSITY OF AIZU   (Japan)

Author keywords

Big data; Big data processing; Big data storage; Data auditing; Privacy

Indexed keywords

DATA PRIVACY; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; LIFE CYCLE;

COMPUTATIONAL POWER; DATA AUDITING; DISTRIBUTED SYSTEMS; FUTURE RESEARCH DIRECTIONS; HOT RESEARCH TOPICS; PRIVACY PRESERVATION; PRIVACY PRESERVING; PRIVACY PROTECTION;

BIG DATA;

EID: 84979828652     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2016.2558446     Document Type: Article

References (72)

1. J. Manyika et al., Big data: The Next Frontier for Innovation, Competition, and Productivity. Zürich, Switzerland: McKinsey Global Inst., Jun. 2011, pp. 1-137.
2. B. Matturdi, X. Zhou, S. Li, and F. Lin, "Big data security and privacy: A review," China Commun., vol. 11, no. 14, pp. 135-145, Apr. 2014.
3. J. Gantz and D. Reinsel, "Extracting value from chaos," in Proc. IDC IView, Jun. 2011, pp. 1-12.
4. A. Katal, M. Wazid, and R. H. Goudar, "Big data: Issues, challenges, tools and good practices," in Proc. IEEE Int. Conf. Contemp. Comput., Aug. 2013, pp. 404-409.
5. L. Xu, C. Jiang, J.Wang, J. Yuan, and Y. Ren, "Information security in big data: Privacy and data mining," in IEEE Access, vol. 2, pp. 1149-1176, Oct. 2014.
6. H. Hu, Y. Wen, T.-S. Chua, and X. Li, "Toward scalable systems for big data analytics: A technology tutorial," IEEE Access, vol. 2, pp. 652-687, Jul. 2014.
7. Z. Xiao and Y. Xiao, "Security and privacy in cloud computing," IEEE Commun. Surveys Tuts., vol. 15, no. 2, pp. 843-859, May 2013.
8. C. Hongbing, R. Chunming, H. Kai,W.Weihong, and L. Yanyan, "Secure big data storage and sharing scheme for cloud tenants," China Commun., vol. 12, no. 6, pp. 106-115, Jun. 2015.
9. N. Cao, C. Wang, M. Li, K. Ren, and W. Lou, "Privacy-preserving multikeyword ranked search over encrypted cloud data," IEEE Trans. Parallel Distrib. Syst.,vol. 25, no. 1, pp. 222-233, Jan. 2014.
10. O. M. Soundararajan, Y. Jenifer, S. Dhivya, and T. K. P. Rajagopal, "Data security and privacy in cloud using RC6 and SHA algorithms," Netw. Commun. Eng., vol. 6, no. 5, pp. 202-205, Jun. 2014.
11. S. Singla and J. Singh, "Cloud data security using authentication and encryption technique," Global J. Comput. Sci. Technol., vol. 13, no. 3, pp. 2232-2235, Jul. 2013.
12. U. Troppens, R. Erkens, W. Muller-Friedt, R. Wolafka, and N. Haustein, Storage Networks Explained: Basics and Application of Fibre Channel SAN, NAS, iSCSI, InfiniBand and FCoE. New York, NY, USA: Wiley, 2011.
13. P. Mell and T. Grance, "The NIST definition of cloud computing," Nat. Inst. Standards Technol., 2011.
14. V. Goyal, O. Pandey, A. Sahai, and B.Waters, "Attribute-based encryption for fine-grained access control of encrypted data," in Proc. ACM Conf. Comput. Commun. Secur., Oct. 2006, pp. 89-98.
15. J. Bethencourt, A. Sahai, and B. Waters, "Ciphertext-policy attributebased encryption," in Proc. IEEE Int. Conf. Secur. Privacy, May 2007, pp. 321-334.
16. K. Yang, X. Jia, K. Ren, B. Zhang, and R. Xie, "DAC-MACS: Effective data access control for multiauthority cloud storage systems," IEEE Trans. Inf. Forensics Security, vol. 8, no. 11, pp. 1790-1801, Nov. 2013.
17. K. Yang and X. Jia, "Expressive, efficient, and revocable data access control for multi-Authority cloud storage," IEEE Trans. Parallel Distrib. Syst., vol. 25, no. 7, pp. 1735-1744, Jul. 2014.
18. K. Yang, X. Jia, and K. Ren, "Secure and verifiable policy update outsourcing for big data access control in the cloud," IEEE Trans. Parallel Distrib. Syst., vol. 26, no. 12, pp. 3461-3470, Dec. 2015.
19. X. Boyen and B.Waters, "Anonymous hierarchical identity-based encryption (without random oracles)," in Proc. Adv. Cryptol. (ASIACRYPT), vol. 4117. Aug. 2006, pp. 290-307.
20. M. Mambo and E. Okamoto, "Proxy cryptosystems: Delegation of the power to decrypt ciphertexts," Fundam. Electron., Commun. Comput. Sci., vol. E80-A, no. 1, pp. 54-63, 1997.
21. M. Blaze, G. Bleumer, and M. Strauss, "Divertible protocols and atomic proxy cryptography," in Proc. Adv. Cryptol. (ASIACRYPT), 1998, pp. 127-144.
22. M. Green and G. Ateniese, "Identity-based proxy re-encryption," in Proc. Int. Conf. Appl. Cryptogr. Netw. Secur., 2007, vol. 4521. pp. 288-306.
23. J. Shao, "Anonymous ID-based proxy re-encryption," in Proc. Int. Conf. Inf. Secur. Privacy, vol. 7372. Jul. 2012, pp. 364-375.
24. K. Liang, W. Susilo, and J. K. Liu, "Privacy-preserving ciphertext multisharing control for big data storage," IEEE Trans. Inf. Forensics Security, vol. 10, no. 8, pp. 1578-1589, Aug. 2015.
25. C. Gentry, "A fully homomorphic encryption scheme," Ph.D. Dissertation, Dept. Comput. Sci., Stanford Univ., Stanford, CA, USA, 2009.
26. S. Nepal, R. Ranjan, and K.-K. R. Choo, "Trustworthy processing of healthcare big data in hybrid clouds," IEEE Trans. Cloud Comput., vol. 2, no. 2, pp. 78-84, Mar./Apr. 2015.
27. X. Huang and X. Du, "Achieving big data privacy via hybrid cloud," in Proc. Int. Conf. INFOCOM, Apr. 2014, pp. 512-517.
28. C. Liu et al., "Authorized public auditing of dynamic big data storage on cloud with efficient verifiable fine-grained updates," IEEE Trans. Parallel Distrib. Syst., vol. 25, no. 9, pp. 2234-2244, Sep. 2014.
29. C. Liu, R. Ranjan, X. Zhang, C. Yang, D. Georgakopoulos, and J. Chen, "Public auditing for big data storage in cloud computing-A survey," in Proc. IEEE Int. Conf. Comput. Sci. Eng., Dec. 2013, pp. 1128-1135.
30. R. C. Merkle, "A digital signature based on a conventional encryption function," in Proc. Adv. Cryptol. (CRYPTO), Jan. 1988, pp. 369-378.
31. G. Ateniese et al., "Provable data possession at untrusted stores," in Proc. Int. Conf. ACM Comput. Commun. Secur., 2007, pp. 598-609.
32. A. Juels and B. S. Kaliski, Jr., "PORs: Proofs of retrievability for large files," in Proc. ACM Conf. Comput. Commun. Secur., Oct. 2007, pp. 584-597.
33. G. Ateniese et al., "Remote data checking using provable data possession," Trans. Inf. Syst. Secur., vol. 14, no. 1, May 2011, Art. no. 12.
34. F. Armknecht, J.-M. Bohli, G. O. Karame, Z. Liu, and C. A. Reuter, "Outsourced proofs of retrievability," in Proc. ACM Conf. Comput. Commun. Secur., Nov. 2014, pp. 831-843.
35. H. Shacham and B. Waters, "Compact proofs of retrievability," in Proc. Adv. Cryptol. (ASIACRYPT), Dec. 2008, pp. 90-107.
36. Q.Wang, C.Wang, K. Ren,W. Lou, and J. Li, "Enabling public auditability and data dynamics for storage security in cloud computing," IEEE Trans. Parallel Distrib. Syst., vol. 22, no. 5, pp. 847-859, May 2011.
37. C. Wang, Q. Wang, K. Ren, and W. Lou, "Privacy-preserving public auditing for data storage security in cloud computing," in Proc. IEEE Int. Conf. INFOCOM, Mar. 2010, pp. 1-9.
38. B. C. M. Fung, K. Wang, R. Chen, and P. S. Yu, "Privacy-preserving data publishing: A survey of recent developments," ACM Comput. Surv., vol. 42, no. 4, Jun. 2010, Art. no. 14.
39. R. C. W. Wong and A. W.-C. Fu, "Privacy-preserving data publishing: An overview," Synth. Lectures Data Manage., vol. 2, no. 1, pp. 1-138, 2010.
40. L. Sweeney, "anonymity: A model for protecting privacy," Int. J. Uncer-Tainty, Fuzziness Knowl. Based Syst., vol. 10, no. 5, pp. 557-570, 2002.
41. R. J. Bayardo and R. Agrawal, "Data privacy through optimal -Anonymization," in Proc. Int. Conf. Data Eng., Apr. 2005, pp. 217-228.
42. K. LeFevre, D. J. Dewitt, and R. Ramakrishnan, "Mondrian multidimensional k-Anonymity," in Proc. Int. Conf. Data Eng., Apr. 2006, p. 25.
43. J. Xu, W. Wang, J. Pei, X. Wang, B. Shi, and A. W.-C. Fu, "Utility-based anonymization for privacy preservation with less information loss," ACM SIGKDD Explorations Newslett., vol. 8, no. 2, pp. 21-30, Dec. 2006.
44. A. Gionis and T. Tassa, "anonymization with minimal loss of information," IEEE Trans. Knowl. Data Eng., vol. 21, no. 2, pp. 206-219, Feb. 2009.
45. L. Xu, C. Jiang, Y. Chen, Y. Ren, and K. J. Ray Liu, "Privacy or utility in data collection A contract theoretic approach," IEEE J. Sel. Topics Signal Process., vol. 9, no. 7, pp. 1256-1269, Oct. 2015.
46. A. K. Jain, M. N. Murty, and P. J. Flynn, "Data clustering: A review," ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, Sep. 1999.
47. R. Xu and D. Wunsch, Clustering. New York, NY, USA: Wiley, 2009.
48. A. Fahad et al., "A survey of clustering algorithms for big data: Taxonomy and empirical analysis," IEEE Trans. Emerg. Topics Comput., vol. 2, no. 3, pp. 267-279, Sep. 2014.
49. A. S. Shirkhorshidi, S. R. Aghabozorgi, Y. W. Teh, and T. Herawan, "Big data clustering: A review," in Proc. Int. Conf. Comput. Sci. Appl., 2014, pp. 707-720.
50. W. Xiao-Dan, Y. Dian-Min, L. Feng-Li, and C. Chao-Hsien, "Distributed model based sampling technique for privacy preserving clustering," in Proc. Int. Conf. Manage. Sci. Eng., Aug. 2007, pp. 192-197.
51. H. Xu, Z. Li, S. Guo, and K. Chen, "CloudVista: Interactive and economical visual cluster analysis for big data in the cloud," in Proc. VLDB Endowment, 2012, pp. 1886-1889.
52. A. M. Elmisery and H. Fu, "Privacy preserving distributed learning clustering of healthcare data using cryptography protocols," in Proc. IEEE 34th Annu. Comput. Softw. Appl. Conf. Workshops, Jul. 2010, pp. 140-145.
53. D. Feldman, M. Schmidt, and C. Sohler, "Turning big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering," in Proc. ACM-SIAM Symp. Discrete Algorithms, 2013, pp. 1434-1453.
54. S. R. M. Oliveira and O. R. Zaane, "Privacy preserving clustering by data transformation," in Proc. 18th Brazilian Symp. Databases, 2003, pp. 304-318.
55. S. R. M. Oliveira and O. R. Zaane, "Privacy-preserving clustering by object similarity-based representation and dimensionality reduction transformation," in Proc. ICDM Workshop Privacy Security Aspects Data Mining, 2004, pp. 40-46.
56. P. Shen and C. Li, "Distributed information theoretic clustering," IEEE Trans. Signal Process., vol. 62, no. 13, pp. 3442-3453, Jul. 2014.
57. C. Tekin and M. Van Der Schaar, "Distributed online Big Data classi-cation using context information," in Proc. Int. Conf. Commun., Control, Comput., Oct. 2013, pp. 1435-1442.
58. P. Rebentrost, M. Mohseni, and S. Lloyd. (2014). Quantum Support Vector Machine for Big Feature and Big Data Classification. [Online]. Available: Http://dblp.uni-Trier.de/db/journals/corr/corr1307.html#RebentrostML13
59. R. Agrawal and R. Srikant, "Privacy-preserving data mining," in Proc. ACM SIGMOD Conf. Manage. Data, 2000, pp. 439-450.
60. A. Evmievski, J. Gehrke, and R. Srikant, "Limiting privacy breaches in privacy preserving data mining," in Proc. ACM Symp. Principles Database Syst., 2003, pp. 211-222.
61. S. Agrawal and J. R. Haritsa, "A framework for high-Accuracy privacypreserving mining," in Proc. 21st Int. Conf. Data Eng., Apr. 2005, pp. 193-204.
62. G. Weiping, W. Wei, and Z. Haofeng, "Privacy preserving classification mining," J. Comput. Res. Develop., vol. 43, no. 1, pp. 39-45, 2006.
63. X. Zhang and H. Bi, "Research on privacy preserving classification data mining based on random perturbation," in Proc. Int. Conf. Inf. Netw. Autom., 2010, pp. 173-178.
64. J. Han, J. Pei, and Y. Yin, "Mining frequent patterns without candidate generation," in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2000, pp. 1-12.
65. M.-Y. Lin, P.-Y. Lee, and S.-C. Hsueh, "Apriori-based frequent itemset mining algorithms on MapReduce," in Proc. Int. Conf. Ubiquitous Inf. Manage. Commun., 2012, p. 76.
66. M. Riondato, J. A. DeBrabant, R. Fonseca, and E. Upfal, "PARMA: A parallel randomized algorithm for approximate association rules mining in MapReduce," in Proc. ACM Int. Conf. Inf. Knowl. Manage., 2012, pp. 85-94.
67. C. K.-S. Leung, R. K. MacKinnon, and F. Jiang, "Reducing the search space for big data mining for interesting patterns from uncertain data," in Proc. Int. Conf. Big Data, Jun./Jul. 2014, pp. 315-322.
68. D. Agrawal and C. C. Aggarwal, "On the design and quantification of privacy preserving data mining algorithms," in Proc. 20th ACM SIGACT-SIGMOD-SIGART Symp. Principles Database Syst., 2001, pp. 247-255.
69. A. Evmievski, R. Srikant, R. Agrawal, and J. Gehrke, "Privacy preserving mining of association rules," in Proc. 8th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2002, pp. 217-228.
70. S. J. Rizvi and J. R. Haritsa, "Maintaining data privacy in association rule mining," in Proc. 28th Int. Conf. Very Large Databases, 2002, pp. 682-693.
71. Y. Lindell and B. Pinkas, "Privacy preserving data mining," in Proc. Adv. Cryptol., 2000, pp. 36-54.
72. Z.-H. Zhou, N.-V. Chawla, Y. Jin, and G. J. Williams, "Big data opportunities and challenges: Discussions from data analytics perspectives [discussion forum]," IEEE Comput. Intell. Mag., vol. 9, no. 4, pp. 62-74, Nov. 2014.