Page 321 - 《软件学报》2026年第6期

2640 软件学报 2026 年第 37 卷第 6 期

[7] Zhang YF, Zeng D, Luo JL, Xu ZL, King I. A survey of trustworthy federated learning with perspectives on security, robustness and
privacy. In: Proc. of the 2023 ACM Web Conf. Austin: ACM, 2023. 1167–1176. [doi: 10.1145/3543873.3587681]
[8] Jing XY, Yan Z, Pedrycz W. Security data collection and data analytics in the Internet: A survey. IEEE Communications Surveys &
Tutorials, 2019, 21(1): 586–618. [doi: 10.1109/COMST.2018.2863942]
[9] Shan ZH, Ren K, Blanton M, Wang C. Practical secure computation outsourcing: A survey. ACM Computing Surveys, 2018, 51(2): 31.
[doi: 10.1145/3158363]
[10] Hong QA, Yu RD, Yu SB, Long XY. A review of data element circulation for intelligent connected vehicles. Information and
Communications Technology and Policy, 2024, 50(3): 27–34 (in Chinese with English abstract). [doi: 10.12267/j.issn.2096-5931.2024.
03.004]
[11] Hou JW, Qu LL, Shi WC. A survey on Internet of Things security from data perspectives. Computer Networks, 2019, 148: 295–306.
[doi: 10.1016/j.comnet.2018.11.026]
[12] Liu LW, Fu CH, Sun ZK, Zhou Y, Ruan N, Jiang CJ. Privacy key technologies in whole stages of data circulation: Current situation,
challenges, and prospects. Ruan Jian Xue Bao/Journal of Software, 2026, 37(1): 301–325 (in Chinese with English abstract). http://www.
jos.org.cn/1000-9825/7478.htm [doi: 10.13328/j.cnki.jos.007478]
[13] State Administration for Market Regulation, Standardization Administration of the People’s Republic of China. GB/T 37988—2019
Information security technology—Data security capability maturity model. Beijing: Standards Press of China (in Chinese).
[14] Lyu GX, Liu P, Lu YM, Wang TY, Kang XG. A data middle platform architecture based on microservice serving power grid business.
In: Proc. of the 8th IEEE Int’l Conf. on Cyber Security and Cloud Computing (CSCloud)/ the 7th IEEE Int’l Conf. on Edge Computing
and Scalable Cloud (EdgeCom). Washington: IEEE, 2021. 219–224. [doi: 10.1109/CSCloud-EdgeCom52276.2021.00047]
[15] Li BS, Hu QG, Chen XF, Gao BQ. Research and design of data platform for power grid enterprise. Electric Power Information and
Communication Technology, 2019, 17(7): 29–34 (in Chinese with English abstract). [doi: 10.16543/j.2095-641x.electric.power.ict.2019.
07.006]
[16] Liu K, Wang SL, Cheng W, Yang WB, Yang SZ. Research on middle platform construction and large data analysis of power enterprises
based on Aliyun. In: Proc. of the 2022 Int’l Seminar on Computer Science and Engineering Technology (SCSET). Indianapolis: IEEE,
2022. 326–329. [doi: 10.1109/SCSET55041.2022.00080]
[17] Lu X, Zhang ZJ, Zhou T, Niu T, Li M, Guan ZT, Ma T, Zhu LH. Decentralized fair IoT data trading via searchable proxy re-encryption.
IEEE Internet of Things Journal, 2024, 11(11): 19485–19499. [doi: 10.1109/JIOT.2024.3365832]
[18] Hu DH, Li YF, Pan LX, Li M, Zheng SL. A blockchain-based trading system for big data. Computer Networks, 2021, 191: 107994.
[doi: 10.1016/j.comnet.2021.107994]
[19] Lyu QY, Zhou YL, Ren YZ, Wang Z, Guo YC. Toward personal data sharing autonomy: A task-driven data capsule sharing system.
IEEE Trans. on Information Forensics and Security, 2024, 19: 9760–9774. [doi: 10.1109/TIFS.2024.3472529]
[20] Lu YL, Huang XH, Zhang K, Maharjan S, Zhang Y. Blockchain empowered asynchronous federated learning for secure data sharing in
Internet of vehicles. IEEE Trans. on Vehicular Technology, 2020, 69(4): 4298–4311. [doi: 10.1109/TVT.2020.2973651]
[21] Chatziantoniou D, Kantere V, Antoniou N, Gantzia A. Data virtual machines: Simplifying data sharing, exploration & querying in big
data environments. In: Proc. of the 2022 IEEE Int’l Conf. on Big Data. Osaka: IEEE, 2022. 373–380. [doi: 10.1109/BigData55660.2022.
10020508]
[22] Peng S, Sun D, Zhu LK, Zhou HT, Zhang XS, Cui CC. Enhancing cross-border data sharing in blockchain networks: A compliance-
centric approach ensuring anonymity and traceability. In: Proc. of the 3rd Int’l Conf. on Computer Science and Blockchain. Shenzhen:
IEEE, 2023. 200–204. [doi: 10.1109/CCSB60789.2023.10398873]
[23] Rahman MS, Al Omar A, Bhuiyan MZA, Basu A, Kiyomoto S, Wang G. Accountable cross-border data sharing using blockchain under
relaxed trust assumption. IEEE Trans. on Engineering Management, 2020, 67(4): 1476–1486. [doi: 10.1109/TEM.2019.2960829]
[24] Malhotra P, Singh Y, Anand P, Bangotra DK, Singh PK, Hong WC. Internet of Things: Evolution, concerns and security challenges.
Sensors, 2021, 21(5): 1809. [doi: 10.3390/s21051809]
[25] Huang JY, Bai JX, Zhang X, Liu Z, Feng YH, Liu JC, Sun X, Dong MX, Li M. KeystrokeSniffer: An off-the-shelf smartphone can
eavesdrop on your privacy from anywhere. IEEE Trans. on Information Forensics and Security, 2024, 19: 6840–6855. [doi: 10.1109/
TIFS.2024.3424301]
[26] Guan L, Liu P, Xing XY, Ge XY, Zhang SZ, Yu M, Jaeger T. TrustShadow: Secure execution of unmodified applications with ARM
TrustZone. In: Proc. of the 15th Annual Int’l Conf. on Mobile Systems, Applications, and Services. Niagara Falls: ACM, 2017.
488–501. [doi: 10.1145/3081333.3081349]
[27] Han S, Jang J. MyTEE: Own the trusted execution environment on embedded devices. In: Proc. of the 2023 Network and Distributed