Methodological Review of Social Engineering Policy Model for Digital Marketing

Social engineering attacks are recognized as human-based threats and continue to increase, despite studies focusing on prevention methods that do not rely on the human aspect. The impacts of these attacks are felt across various industries and organizations. To solve this issue, a social engineering policy model must be proposed for prevention in industrial settings, particularly emphasizing digital marketing activities, a crucial process in contemporary industries. However, hackers often exploit activities or information in these practices, necessitating an industry-specific policy to prevent these threats in digital marketing. As a result, a comprehensive review was conducted to identify critical method for develop social engineering policy model. The review uses Bryman's method to determine effective approaches for designing a social engineering policy model tailored for digital marketing. Consequently, this review provided a method for crafting effective social engineering policy, providing valuable insights for enhancing digital marketing security.

@article{Syafitri2025,
  title     = {Methodological Review of Social Engineering Policy Model for Digital Marketing},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {1},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Wenni Syafitri and Zarina Shukur and Umi Asma’ Mokhtar and Rossilawati Sulaiman},
  doi       = {10.14569/IJACSA.2025.0160184},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160184}
}