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Applying Detection Leakage on Hybrid Cryptography to Secure Transaction Information in E-Commerce Apps

Author

Listed:
  • Mishall Al-Zubaidie

    (Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq)

  • Ghanima Sabr Shyaa

    (Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq)

Abstract

Technology advancements have driven a boost in electronic commerce use in the present day due to an increase in demand processes, regardless of whether goods, products, services, or payments are being bought or sold. Various goods are purchased and sold online by merchants ( M )s for large amounts of money. Nonetheless, during the transmission of information via electronic commerce, M s’ information may be compromised or attacked. In order to enhance the security of e-commerce transaction data, particularly sensitive M information, we have devised a protocol that combines the Fernet (FER) algorithm with the ElGamal (ELG) algorithm. Additionally, we have integrated data leakage detection (DLD) technology to verify the integrity of keys, encryptions, and decryptions. The integration of these algorithms ensures that electronic-commerce transactions are both highly secure and efficiently processed. Our analysis of the protocol’s security and performance indicates that it outperforms the algorithms used in previous studies, providing superior levels of security and performance.

Suggested Citation

  • Mishall Al-Zubaidie & Ghanima Sabr Shyaa, 2023. "Applying Detection Leakage on Hybrid Cryptography to Secure Transaction Information in E-Commerce Apps," Future Internet, MDPI, vol. 15(8), pages 1-20, August.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:8:p:262-:d:1208012
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    References listed on IDEAS

    as
    1. Zongwei Li & Lingling Ren & Zhenyu Li & Jianing Chen & Xu Tian & Yanhui Zhang & Bin Liu, 2023. "Price Dispersion, Bargaining Power, and Consumers’ Online Shopping Experience in e-Commerce: Evidence from Online Transactions," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-12, January.
    2. Mishall Al-Zubaidie & Zhongwei Zhang & Ji Zhang, 2019. "PAX: Using Pseudonymization and Anonymization to Protect Patients’ Identities and Data in the Healthcare System," IJERPH, MDPI, vol. 16(9), pages 1-36, April.
    Full references (including those not matched with items on IDEAS)

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