Open Access
Issue
SHS Web Conf.
Volume 231, 2026
7th International Symposium on Frontiers of Economics and Management Science (FEMS 2026)
Article Number 01011
Number of page(s) 4
DOI https://doi.org/10.1051/shsconf/202623101011
Published online 19 May 2026
  1. Varga, G. (2021, October 25). Global cybercrime report: Which countries are most at risk? SEON. https://seon.io/resources/global-cybercrime-report/Fangfang. Research on power load forecasting based on Improved BP neural network [D]. Harbin Institute of Technology, 2011. [Google Scholar]
  2. Federal Bureau of Investigation. (2023). Internet crime report 2023. U.S. Department of Justice. [Google Scholar]
  3. House of Commons of Canada. (2024). Bill C-63. Parliament of Canada. [Google Scholar]
  4. Federal Trade Commission. (2013). Children's Online Privacy Protection Rule ("COPPA"). [Google Scholar]
  5. Cifci, M. A., & Celik, B. (2022). A conceptual framework for comparing cybersecurity indices at national level. Computers & Security, 121, 102843. [Google Scholar]
  6. International Telecommunication Union. (2021). Global cybersecurity index 2020. [Google Scholar]
  7. Li, J., & Wang, Y. (2024). Comparative study on national cybersecurity indicators. Journal of Cybersecurity Research, 15(2), 45–67. [Google Scholar]
  8. Makhubele, M., & Moloi, T. (2024). Correlation between cybercrime rates and cybersecurity policies. African Journal of Information Systems, 16(1), 23–45. [Google Scholar]
  9. Jadhav, S., & Patil, R. (2024). ARIMA-LSTM hybrid model for predicting crime trends. Journal of Data Science and Forecasting, 12(3), 112–130. [Google Scholar]
  10. Pramod, K., & Kumar, S. (2021). Assessing effectiveness of national security policies using ARIMA-LSTM models. Security Informatics, 10(1), 1–15. https://doi.org/10.1186/s13388-021-00078-1 [Google Scholar]
  11. Siami-Namini, S., Tavakoli, N., & Namin, A. S. (2018). A comparative analysis of ARIMA and LSTM for time series forecasting. Proceedings of the 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)(pp. 1394–1401). [Google Scholar]

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