|
1. Dehkordi S A, Farajzadeh K, Rezazadeh J, et al. A survey on data aggregation techniques in IoT sensor networks. Wireless Networks, 2020, 26(2): 1243-1263
2. Sosa-Reyna C M, Tello-Leal E, Lara-Alabazares D. Methodology for the model-driven development of service oriented IoT applications. Journal of Systems Architecture, 2018, 90: 15-22
3. Rezazadeh J, Sandrasegaran K, Kong X Y. A location-based smart shopping system with IoT technology. Proceedings of the IEEE 4th World Forum on Internet of Things (WF-IoT ’18), 2018, Feb 5-8, Singapore. Piscataway, NJ, USA: IEEE, 2018: 748-753
4. Dilley J, Maggs B, Parikh J, et al. Globally distributed content delivery. IEEE Internet Computing, 2002, 6(5): 50-58
5. Sha, K W, Yang T A., Wei W, et al. A survey of edge computing-based designs for IoT security. Digital Communications and Networks, 2020, 6(2): 195-202
6. Rafique W, Qi L Y, Yaqoob I, et al. Complementing IoT services through software defined networking and edge computing: A comprehensive survey. IEEE Communications Surveys & Tutorials, 2020, 22(3): 1761-1804
7. Liu X W, Yu J G, Li F, et al. Data aggregation in wireless sensor networks: from the perspective of security. IEEE Internet of Things Journal, 2020, 7(7): 6495-6513
8. Sui Z Y, Niedermeier M, de Meer H. RESA: A robust and efficient secure aggregation scheme in smart grids. Critical Information Infrastructures Security: Proceedings of the 10th International Conference on Critical Information Infrastructures Security (CRITIS’15), 2015, Oct 5-7, Berlin, Germany. LNCS 9578. Berlin, Germany: Springer, 2015: 171-182
9. Li C, Lu R X, Li H, et al. PDA: A privacy-preserving dual-functional aggregation scheme for smart grid communications. Security and Communication Networks, 2015, 8(15): 2494-2506
10. Bao H, Chen L. A lightweight privacy-preserving scheme with data integrity for smart grid communications. Concurrency and Computation: Practice and Experience, 2016, 28(4): 1094-1110
11. Ni J B, Zhang K, Lin X D, et al. EDAT: Efficient data aggregation without TTP for privacy-assured smart metering. Proceedings of the 2016 IEEE International Conference on Communications (ICC’16), 2016, May 22-27, Kuala Lumpur, Malaysia. Piscataway, NJ, USA: IEEE, 2016: 6p
12. Liu Y N, Guo W, Fan C I, et al. A practical privacy-preserving data aggregation (3PDA) scheme for smart grid. IEEE Transactions on Industrial Informatics, 2019, 15(3): 1767-1774
13. Wang H Q, Wang Z W, Domingo-Ferrer J. Anonymous and secure aggregation scheme in fog-based public cloud computing. Future Generation Computer Systems, 2018, 78, Part 2: 712-719
14. Lu R X, Liang X H, Li X, et al. EPPA: An efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Transactions on Parallel and Distributed Systems, 2012, 23(9): 1621-1631
15. Wang X D, Liu Y N, Choo K K R. Fault-tolerant multisubset aggregation scheme for smart grid. IEEE Transactions on Industrial Informatics, 2021, 17(6): 4065-4072
16. Peng C, Luo M, Vijayakumar P, et al. Multi-functional and multi-dimensional secure data aggregation schemes in WSNs. IEEE Internet of Things Journal, DOI: 10.1109/JIoT.2021.3077866 (To be published)
17. Shen H, Zhang M W, Shen J. Efficient privacy-preserving cube-data aggregation scheme for smart grids. IEEE Transactions on Information Forensics and Security, 2017, 12(6): 1369-1381
18. Zeng P, Pan B, Choo K K R, et al. MMDA: Multidimensional and multidirectional data aggregation for edge computing-enhanced IoT. Journal of Systems Architecture, 2020, 106: Article 101713
19. Liu X F, Zhang Y Q, Wang B Y, et al. An anonymous data aggregation scheme for smart grid systems. Security and Communication Networks, 2014, 7(3): 602-610
20. González-Manzano L, de Fuentes J M, Pastrana S, et al. PAgIoT-privacy-preserving aggregation protocol for Internet of things. Journal of Network and Computer Applications, 2016, 71: 59-71
21. Guan Z T, Zhang Y, Wu L F, et al. APPA: An anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT. Journal of Network and Computer Applications, 2019, 125: 82-92
22. Mohammadali A, Haghighi M S. A privacy-preserving homomorphic scheme with multiple dimensions and fault tolerance for metering data aggregation in smart grid. IEEE Transactions on Smart Grid, 2021, 12(6): 5212-5220
23. Lu R X, Heung K, Lashkari A H, et al. A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT. IEEE Access, 2017, 5: 3302-3312
24. Paillier P. Public-key cryptosystems based on composite degree residuosity classes. Advances in Cryptology: Proceedings of the 17th International Conference on the Theory and Applications of Cryptographic Techniques (EUROCRYPT’99), 1999, May 2-6, Prague, Czech. LNCS 1592. Berlin, Germany: Springer, 1999: 223-238
25. Wu Y D, Bao F. Batch decryption of encrypted short messages and its application on concurrent SSL handshakes. Information Security and Cryptology: Proceedings of the 2nd State Key Laboratory of Information Security (SKLOIS) Conference on Information Security and Cryptology (Inscrypt’06), 2006, Nov 29-Dec 1, Beijing, China. LNCS 4318. Berlin, Germany: Springer, 2006: 264-278
26. BS ISO/IEC 18033-6: 2019. IT security techniques. encryption algorithms homomorphic encryption. 2019
27. ISO/IEC 18033-5: 2015/AMD 1: 2021. Information technology security techniques encryption algorithms, Part 5: Identity-based ciphers Amendment 1: SM9 mechanism. 2021
28. Rukhin A, Soto J, Nechvataet J, al. A statistical test suite for random and pseudorandom number generators for cryptographic applications. NIST Special Publication 800-22 Revision 1a. Gaithersburg, MD, USA: Information Technology Laboratory, National Institute of Standards and Technology, 2010
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