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Innovative research on encryption and protection of e-commerce with big data analysis

Author

Listed:
  • Yifu Shu
  • Wenda Wang

Abstract

In the e-commerce sector, protecting data privacy is crucial. This study introduces the symmetric balanced funnel Pˆ5 model as a method for addressing data protection challenges. The Pˆ5 model organises data protection into five levels, each tailored to the specific security needs of different types of e-commerce data. It employs encryption algorithms like DES, AES, and RSA, with increasing encryption strength across the levels to ensure adequate protection. This approach not only safeguards user confidentiality and commercial interests but also provides balanced protection for data exchanged between parties. By offering focused protection for various categories of sensitive data, the Pˆ5 model enhances overall data security in e-commerce. This study offers a new and comprehensive strategy for ensuring data privacy in e-commerce environments.

Suggested Citation

  • Yifu Shu & Wenda Wang, 2024. "Innovative research on encryption and protection of e-commerce with big data analysis," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 9(2), pages 123-142.
    • Handle: RePEc:ids:ijdsci:v:9:y:2024:i:2:p:123-142
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