AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Tsinghua Science and Technology Article
PDF (1.9 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

Privacy-Aware Examination Results Ranking for the Balance Between Teachers and Mothers

Department of College English Teaching, Qufu Normal University, Rizhao 276826, China
Department of Physical Education, Qufu Normal University, Rizhao 276826, China
Department of Basketball, Rizhao Sports School, Rizhao 276800, China
School of Computer Science, Qufu Normal University, Rizhao 276826, China
Show Author Information

Abstract

As the main parent and guardian, mothers are often concerned with the study performance of their children. More specifically, most mothers are eager to know the concrete examination scores of their children. However, with the continuous progress of modern education systems, most schools or teachers have now been forbidden to release sensitive student examination scores to the public due to privacy concerns, which has made it infeasible for mothers to know the real study level or examination performance of their children. Therefore, a conflict has come to exist between teachers and mothers, which harms the general growing up of students in their study. In view of this challenge, we propose a Privacy-aware Examination Results Ranking (PERR) method to attempt at balancing teachers’ privacy disclosure concerns and the mothers’ concerns over their children’s examination performance. By drawing on a relevant case study, we prove the effectiveness of the proposed PERR method in evaluating and ranking students according to their examination scores while at the same time securing sensitive student information.

Keywords

user privacy protectionevaluation and rankingperfeormance balance

References

[1]
U. Beyazit and A. B. Ayhan, A study on the mother education program for the prevention of child neglect, Psychol. Rep., vol. 122, no. 6, pp. 2178-2200, 2019.
Crossref Google Scholar
[2]
M. U. Farooq, M. Z. Rafique, and M. A. R. Shah, The effects of mother education and intervening mechanisms on rural-urban child stunting: Evidence from Pakistan, Rev. Pan-Amaz. Saúde, .
Crossref Google Scholar
[3]
E. Jiménez-Pérez, M. I. de V.-Y. Jara, R. Gutiérrez-Fresneda, and P. García-Guirao, Sustainable education, emotional intelligence and mother-child reading competencies within multiple mediation models, Sustainability, vol. 13, no. 4, p. 1803, 2021.
Crossref Google Scholar
[4]
T. Nygård, N. Hirvonen, S. Räisänen, and R. L. Korkeamäki, Ask your mother! Teachers’ informational authority roles in information-seeking and evaluation tasks in health education lessons, Scandinavian Journal of Educational Research, .
Crossref Google Scholar
[5]
H. Z. Kou, H. W. Liu, Y. C. Duan, W. W. Gong, Y. W. Xu, X. L. Xu, and L. Y. Qi, Building trust/distrust relationships on signed social network through privacy-aware link prediction, Applied Soft Computing, vol. 100, p. 106942, 2021.
Crossref Google Scholar
[6]
X. L. Xu, R. C. Mo, X. C. Yin, M. R. Khosravi, F. Aghaei, V. Chang, and G. S. Li, PDM: Privacy-aware deployment of machine-learning applications for industrial cyber-physical cloud systems, IEEE Transactions on Industrial Informatics, vol. 17, no. 8, pp. 5819-5828, 2021.
Crossref Google Scholar
[7]
Y. Jin, W. G. Guo, and Y. W. Zhang, A time-aware dynamic service quality prediction approach for services, Tsinghua Science and Technology, vol. 25, no. 2, pp. 227-238, 2020.
Crossref Google Scholar
[8]
Q. Liu, P. L. Hou, G. J. Wang, T. Peng, and S. B. Zhang, Intelligent route planning on large road networks with efficiency and privacy, Journal of Parallel and Distributed Computing, vol. 133, pp. 93-106, 2019.
Crossref Google Scholar
[9]
Z. C. Sun, Y. J. Wang, Z. P. Cai, T. E. Liu, X. R. Tong, and N. Jiang, A two-stage privacy protection mechanism based on blockchain in mobile crowdsourcing, International Journal of Intelligent Systems, vol. 36, no. 5, pp. 2058-2080, 2021.
Crossref Google Scholar
[10]
Y. Xu, C. Zhang, Q. R. Zeng, G. J. Wang, J. Ren, and Y. X. Zhang, Blockchain-enabled accountability mechanism against information leakage in vertical industry services, IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1202-1213, 2021.
Crossref Google Scholar
[11]
T. E. Liu, Y. J. Wang, Y. S. Li, X. R. Tong, L. Y. Qi, and N. Jiang, Privacy protection based on stream cipher for spatio-temporal data in IoT, IEEE Internet of Things Journal, vol. 7, no. 9, pp. 7928-7940, 2020.
Crossref Google Scholar
[12]
M. S. Mahmud, J. Z. Huang, S. Salloum, T. Z. Emara, and K. Sadatdiynov, A survey of data partitioning and sampling methods to support big data analysis, Big Data Mining and Analytics, vol. 3, no. 2, pp. 85-101, 2020.
Crossref Google Scholar
[13]
A. Guezzaz, Y. Asimi, M. Azrour, and A. Asimi, Mathematical validation of proposed machine learning classifier for heterogeneous traffic and anomaly detection, Big Data Mining and Analytics, vol. 4, no. 1, pp. 18-24, 2021.
Crossref Google Scholar
[14]
T. T. Cai, J. X. Li, A. S. Mian, R. H. Li, T. Sellis, and J. X. Yu, Target-aware holistic influence maximization in spatial social networks, IEEE Transactions on Knowledge and Data Engineering, .
Crossref Google Scholar
[15]
Y. Li, S. C. Xia, Q. Y. Yang, G. Y. Wang, and W. Y. Zhang, Lifetime-priority-driven resource allocation for WNV-based internet of things, IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4514-4525, 2021.
Crossref Google Scholar
[16]
J. X. Li, T. T. Cai, K. Deng, X. J. Wang, T. Sellis, and F. Xia, Community-diversified influence maximization in social networks, Information Systems, vol. 92, p. 101522, 2020.
Crossref Google Scholar
[17]
Q. Liu, G. J. Wang, F. Li, S. H. Yang, and J. Wu, Preserving privacy with probabilistic indistinguishability in weighted social networks, IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 5, pp. 1417-1429, 2017.
Crossref Google Scholar
[18]
N. Bhardwaj and P. Sharma, An advanced uncertainty measure using fuzzy soft sets: Application to decision-making problems, Big Data Mining and Analytics, vol. 4, no. 2, pp. 94-103, 2021.
Crossref Google Scholar
[19]
Q. C. Cao, W. L. Zhang, and Y. H. Zhu, Deep learning-based classification of the polar emotions of “Moe”-style cartoon pictures, Tsinghua Science and Technology, vol. 26, no. 3, pp. 275-286, 2021.
Crossref Google Scholar
[20]
X. Xue, S. F. Wang, L. J. Zhang, Z. Y. Feng, and Y. D. Guo, Social Learning Evolution (SLE): Computational experiment-based modeling framework of social manufacturing, IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3343-3355, 2019.
Crossref Google Scholar
[21]
X. L. Xu, B. W. Shen, S. Ding, G. Srivastava, M. Bilal, M. R. Khosravi, V. G. Menon, M. A. Jan, and M. L. Wang, Service offloading with deep Q-network for digital twinning empowered internet of vehicles in edge computing, IEEE Transactions on Industrial Informatics, .
Crossref Google Scholar
[22]
X. K. Wang, L. T. Yang, L. W. Song, H. H. Wang, L. Ren, and M. J. Deen, A tensor-based multi-attributes visual feature recognition method for industrial intelligence, IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2231-2241, 2021.
Crossref Google Scholar
[23]
L. Ren, Z. H. Meng, X. K. Wang, L. Zhang, and L. T. Yang, A data-driven approach of product quality prediction for complex production systems, IEEE Transactions on Industrial Informatics, vol. 17, no. 9, pp. 6457-6465, 2021.
Crossref Google Scholar
[24]
L. Y. Qi, X. K. Wang, X. L. Xu, W. C. Dou, and S. C. Li, Privacy-aware cross-platform service recommendation based on enhanced locality-sensitive hashing, IEEE Transactions on Network Science and Engineering, vol. 8, no. 2, pp. 1145-1153, 2021.
Crossref Google Scholar
[25]
L. Y. Qi, C. H. Hu, X. Y. Zhang, M. R. Khosravi, S. Sharma, S. N. Pang, and T. Wang, Privacy-aware data fusion and prediction with spatial-temporal context for smart city industrial environment, IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4159-4167, 2021.
Crossref Google Scholar
[26]
Q. Liu, Y. Tian, J. Wu, T. Peng, and G. J. Wang, Enabling verifiable and dynamic ranked search over outsourced data, IEEE Transactions on Services Computing, .
Crossref Google Scholar
[27]
Y. W. Liu, A. X. Pei, F. Wang, Y. H. Yang, X. Y. Zhang, H. Wang, H. N. Dai, and L. Y. Qi, An attention-based category-aware GRU model for the next POI recommendation, International Journal of Intelligent Systems, vol. 36, no. 7, pp. 3174-3189, 2021.
Crossref Google Scholar
[28]
X. L. Yang, X. H. Jia, M. K. Yuan, and D. M. Yan, Real-time facial pose estimation and tracking by coarse-to-fine iterative optimization, Tsinghua Science and Technology, vol. 25, no. 5, pp. 690-700, 2020.
Crossref Google Scholar
[29]
F. Wang, H. B. Zhu, G. Srivastava, S. C. Li, M. R. Khosravi, and L. Y. Qi, Robust collaborative filtering recommendation with user-item-trust records, IEEE Transactions on Computational Social Systems, .
Crossref Google Scholar
[30]
Y. J. Wang, Z. P. Cai, Z. H. Zhan, Y. J. Gong, and X. R. Tong, An optimization and auction based incentive mechanism to maximize social welfare for mobile crowdsourcing, IEEE Transactions on Computational Social Systems, vol. 6, no. 3, pp. 414-429, 2019.
Crossref Google Scholar
[31]
Y. Xu, J. Ren, Y. Zhang, C. Zhang, B. Shen, and Y. X. Zhang, Blockchain empowered arbitrable data auditing scheme for network storage as a service, IEEE Transactions on Services Computing, vol. 13, no. 2, pp. 289-300, 2020.
Crossref Google Scholar
[32]
Y. Xu, C. Zhang, G. J. Wang, Z. Qin, and Q. R. Zeng, A blockchain-enabled deduplicatable data auditing mechanism for network storage services, IEEE Transactions on Emerging Topics in Computing, .
Crossref Google Scholar
[33]
Y. Xu, J. Ren, G. J. Wang, C. Zhang, J. D. Yang, and Y. X. Zhang, A blockchain-based nonrepudiation network computing service scheme for industrial IoT, IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3632-3641, 2019.
Crossref Google Scholar
[34]
Z. P. Cai and X. Zheng, A private and efficient mechanism for data uploading in smart cyber-physical systems, IEEE Transactions on Network Science and Engineering, vol. 7, no. 2, pp. 766-775, 2020.
Crossref Google Scholar
[35]
X. Zheng and Z. P. Cai, Privacy-preserved data sharing towards multiple parties in industrial IoTs, IEEE Journal on Selected Areas in Communications, vol. 38, no. 5, pp. 968-979, 2020.
Crossref Google Scholar
[36]
K. Y. Li, G. M. Lu, G. C. Luo, and Z. P. Cai, Seed-free graph de-anonymiztiation with adversarial learning, in Proc. 29th ACM Int. Conf. Information and Knowledge Management, Virtual Event, Ireland, 2020, pp. 745-754.
Crossref
[37]
X. Chen, Z. D. Yuan, Z. Q. Cui, D. Zhang, and X. L. Ju, Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction, IET Software, vol. 15, no. 1, pp. 75-89, 2021.
Crossref Google Scholar
[38]
X. Chen, Y. Q. Zhao, Z. Q. Cui, G. Z. Meng, Y. Liu, and Z. Wang, Large-scale empirical studies on effort-aware security vulnerability prediction methods, IEEE Transactions on Reliability, vol. 69, no. 1, pp. 70-87, 2020.
Crossref Google Scholar
[39]
Y. Li, Z. Y. Zhang, S. C. Xia, and H. H. Chen, A load-balanced re-embedding scheme for wireless network virtualization, IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3761-3772, 2021.
Crossref Google Scholar
[40]
S. M. Meng, W. J. Huang, X. C. Yin, M. R. Khosravi, Q. M. Li, S. H. Wan, and L. Y. Qi, Security-aware dynamic scheduling for real-time optimization in cloud-based industrial applications, IEEE Transactions on Industrial Informatics, vol. 17, no. 6, pp. 4219-4228, 2021.
Crossref Google Scholar
[41]
Y. Li, S. C. Xia, M. Y. Zheng, B. Cao, and Q. L. Liu, Lyapunov optimization based trade-off policy for mobile cloud offloading in heterogeneous wireless networks, IEEE Transactions on Cloud Computing, .
Crossref Google Scholar
[42]
Y. Chen, Y. C. Zhang, Y. Wu, L. Y. Qi, X. Chen, and X. M. Shen, Joint task scheduling and energy management for heterogeneous mobile edge computing with hybrid energy supply, IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8419-8429, 2020.
Crossref Google Scholar
[43]
Y. Li, H. Ma, L. Wang, S. W. Mao, and G. Y. Wang, Optimized content caching and user association for edge computing in densely deployed heterogeneous networks, IEEE Transactions on Mobile Computing, .
Crossref Google Scholar
[44]
X. L. Xu, X. Y. Zhang, M. Khan, W. C. Dou, S. J. Xue, and S. Yu, A balanced virtual machine scheduling method for energy-performance trade-offs in cyber-physical cloud systems, Future Generation Computer Systems, vol. 105, pp. 789-799, 2020.
Crossref Google Scholar
[45]
Y. Li, J. Liu, B. Cao, and C. Wang, Joint optimization of radio and virtual machine resources with uncertain user demands in mobile cloud computing, IEEE Transactions on Multimedia, vol. 20, no. 9, pp. 2427-2438, 2018.
Crossref Google Scholar
Tsinghua Science and Technology
Volume 27 Issue 3,
June 2022
Pages 581-588
DOI: 10.26599/TST.2021.9010052
Cite this article:
Yuan Q, Wang D, Zhao Y, et al. Privacy-Aware Examination Results Ranking for the Balance Between Teachers and Mothers. Tsinghua Science and Technology, 2022, 27(3): 581-588. https://doi.org/10.26599/TST.2021.9010052

921

Views

59

Downloads

2

Crossref

2

Web of Science

2

Scopus

0

CSCD

Altmetrics
Received: 01 March 2021
Revised: 29 June 2021
Accepted: 02 July 2021
Published: 13 November 2021
© The author(s) 2022

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Return