Anonymous and secure aggregation scheme in fog-based public cloud computing

Future Generation Computer Systems

Volumn 78, Issue , 2018, Pages 712-719

  Wang, Huaqun ^a   Wang, Zhiwei ^a   Domingo Ferrer, Josep ^b  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Anonymity; Cloud computing; Fog computing; Homomorphic encryption; Terminal device

Indexed keywords

CLOUD COMPUTING; CRYPTOGRAPHY; FOG;

AGGREGATED DATUM; ANONYMITY; DATA AGGREGATION; HO-MOMORPHIC ENCRYPTIONS; PROVABLY SECURE; SECURE AGGREGATIONS; TERMINAL DEVICES; THREE COMPONENT;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 85014042880     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2017.02.032     Document Type: Article

References (36)

1. Xia, Z., Wang, X., Zhang, L., Qin, Z., Sun, X., Ren, K., A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Trans. Inf. Forensics Secur. 11:11 (2016), 2594–2608.
2. Fu, Z., Ren, K., Shu, J., Sun, X., Huang, F., Enabling personalized search over encrypted outsourced data with efficiency improvement. IEEE Trans. Parallel Distrib. Syst. 27:9 (2016), 2546–2559.
3. Xia, Z., Wang, X., Sun, X., Wang, Q., A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27:2 (2015), 340–352.
4. F. Bonomi, R. Milito, J. Zhu, S. Addepalli, Fog computing and its role in the Internet of things, in: Proceedings of MCC’12, Helsinki, Finland, Aug. 13–17, 2012, pp. 13–16.
5. Bonomi, F., Milito, R., Natarajan, P., Zhu, J., Fog computing: A platform for Internet of things and analytics. Big Data and Internet of Things: A Roadmap for Smart Environments, 2014, Springer International Publishing, 169–186.
6. S. Yi, C. Li, Q. Li, A survey of fog computing: concepts, applications and issues, in: Proceedings of the 2015 Workshop on Mobile Big Data, Hangzhou, China, Jun. 22–25, 2015, pp. 37–42.
7. Y. Wang, T. Uehara, R. Sasaki, Fog computing: issues and challenges in security and forensics, in: Proceedings of COMPSAC’15, Taichung, July 1–5, 2015, pp. 53–59.
8. S. Yi, Z. Qin, Q. Li, Security and privacy issues of fog computing: a survey, in: Proceedings of WASA 2015, LNCS 9204, Qufu, China, Aug. 10–12, 2015, pp. 685–695.
9. Stojmenovic, I., Wen, S., Huang, X., Luan, H., An overview of fog computing and its security issues. Concurr. Comput.: Pract. Exper. 28:10 (2016), 2991–3005, 10.1002/cpe.3485.
10. Domingo-Ferrer, J., A new privacy homomorphism and applications. Inform. Process. Lett. 60:5 (1996), 277–282.
11. J. Domingo-Ferrer, A provably secure additive and multiplicative privacy homomorphism, in: Proceedings of ISC 2002, LNCS 2433, São Paulo, Brazil, Sep. 30-Oct. 2, 2002, pp. 471–483.
12. P. Paillier, Public-key cryptosystems based on composite degree residuosity classes, in: Proceedings of EUROCRYPT’99, Prague, Czech Republic, May 2–6, 1999, pp. 223–238.
13. D. Catalano, R. Gennaro, N. Howgrave-Graham, P.Q. Nguyen, Paillier's cryptosystem revisited, in: Proceedings of CCS’01, Swissôtel Chicago, Chicago, USA, Oct. 17–21, 2011, pp. 206–214.
14. D. Galindo, S. Martín, P. Morillo, J.L. Villar, An efficient semantically secure elliptic curve cryptosystem based on KMOV, in: Proceedings of WCC’03, Versailles, France, Mar. 24–28, 2003, pp. 213–221.
15. P. Smith, M.J.J. Lennon, LUC: A new public key system, in: Proceedings of IFIP/Sec’93, Toronto, Canada, May 12–14, 1993, pp. 103–117.
16. Castagnos, G., An efficient probabilistic public-key cryptosystem over quadratic fields quotients. Finite Fields Appl. 13:3 (2007), 563–576.
17. Lu, R., Liang, X., Li, X., Lin, X., Shen, X., Eppa: an efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Trans. Parallel Distrib. Syst. 23:9 (2012), 1621–1631.
18. Viejo, A., Wu, Q., Domingo-Ferrer, J., Asymmetric homomorphisms for secure aggregation in heterogeneous scenarios. Inf. Fusion 13:4 (2012), 285–295.
19. G. Castagnos, F. Laguillaumie, Linearly homomorphic encryption from DDH, in: Proceedings of CT-RSA’15, San Francisco, CA, USA, April 20–24, 2015, pp. 487–505.
20. Bresson, E., Catalano, D., Pointcheval, D., A simple public-key cryptosystem with a double trapdoor decryption mechanism and its applications. ASIACRYPT 2003 LNCS, vol. 2894, 2003, Springer, Heidelberg, 37–54.
21. Ahmad, M., Amin, M.B., Hussain, S., Kang, B.H., Cheong, T., Lee, S., Health fog: a novel framework for health and wellness applications. J. Supercomput., 2016, 10.1007/s11227-016-1634-x.
22. Orazio, C., Choo, K., Circumventing iOS security mechanisms for APT forensic investigations: A security taxonomy for cloud apps. Future Gener. Comput. Syst., 2016, 10.1016/j.future.2016.11.010.
23. Orazio, C., Choo, K., A technique to circumvent SSL/TLS validations on iOS devices. Future Gener. Comput. Syst., 2016, 10.1016/j.future.2016.08.019.
24. Orazio, C., Choo, K., Yang, L., Data exfiltration from Internet of Things devices: iOS devices as case studies. IEEE Internet Things J., 2016, 10.1109/JIOT.2016.2569094.
25. Cahyani, N., Ab Rahman, N., Glisson, W., Choo, K., The role of mobile forensics in terrorism investigations involving the use of cloud storage service and communication apps. Mob. Netw. Appl., 2016, 10.1007/s11036-016-0791-8.
26. Fu, Z., Sun, X., Liu, Q., Zhou, L., Shu, J., Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans. Commun. E98-B:1 (2015), 190–200.
27. Ma, T., Zhou, J., Tang, M., Tian, Y., Al-Dhelaan, A., Al-Rodhaan, M., Lee, S., Social network and tag sources based augmenting collaborative recommender system. IEICE Trans. Inf. Syst. E98-D:4 (2015), 902–910.
28. Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., Linge, N., A speculative approach to spatialtemporal efficiency with multiobjective optimization in a heterogeneous cloud environment. Secur. Commun. Netw. 9:17 (2016), 4002–4012.
29. Kong, Y., Zhang, M., Ye, D., A belief propagation-based method for task allocation in open and dynamic cloud environments. Knowl.-Based Syst. 115 (2016), 123–132.
30. Lu, R., Li, X., Luan, T.H., Liang, X., Shen, X., Pseudonym changing at social spots: an effective strategy for location privacy in VANETs. IEEE Trans. Veh. Technol. 61:1 (2012), 86–96.
31. Liang, X., Li, X., Zhang, K., Lu, R., Lin, X., Shen, X., Fully anonymous profile matching in mobile social networks. IEEE J. Sel. Areas Commun. 31:9 (2013), 641–655.
32. Khayati, L.J., Orencik, C., Savas, E., Ustaoglu, B., A practical privacy-preserving targeted advertising scheme for IPTV users. Int. J. Inf. Secur., 2015, 10.1007/s10207-015-0296-7.
33. Z. Fu, X. Sun, S. Ji, G. Xie, Towards efficient content-aware search over encrypted outsourced data in cloud, in: Proceedings of the 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM, San Francisco, CA, 2016, http://dx.doi.org/10.1109/INFOCOM.2016.7524606.
34. D. Boneh, M. Franklin, Identity-based encryption from the Weil pairing, in: Proceedings of CRYPTO’01, Santa Barbara, California, USA, Aug. 19–23, 2001, pp. 213–229.
35. Miyaji, A., Nakabayashi, M., Takano, S., New explicit conditions of elliptic curve traces for FR-reduction. IEICE Trans. Fundam. 5 (2001), 1234–1243.
36. D. Boneh, B. Lynn, H. Shacham, Short signatures from the Weil pairing, in: Proceedings of ASIACRYPT’01, Gold Coast, Australia, Dec. 9–13, 2001, pp. 514–532.