Optimizing Data Security in Computer-Assisted Test Applications Through the Advanced Encryption Standard 256-Bit Cipher Block Chaining

In the digital education era, the importance of Computer-Assisted Test programs is underscored by their efficiency in conducting assessments. However, the increasing incidence of data breaches and cyberthreats has made the implementation of robust data protection measures imperative. This study explores the adoption of the Advanced Encryption Standard 256-bit Cipher Block Chaining in CAT applications to enhance data security. Known for its strong encryption capabilities, AES-256-CBC is an excellent choice for securing sensitive test data. The research focuses on the application of AES-256-CBC within CAT systems during the independent admission process at Politeknik Negeri Bengkalis, a critical phase where the integrity of exam materials and student data is paramount. We evaluate the effectiveness of AES-256-CBC in encrypting user data and exam materials across different CAT systems, thus preserving data integrity and confidentiality. The implementation of AES-256-CBC helps prevent unauthorized access and manipulation of test results, ensuring a secure online testing environment. This research not only demonstrates the technical implementation of AES-256-CBC but also assesses its impact on enhancing the security posture of CAT applications at Politeknik Negeri Bengkalis. The findings contribute to the broader discussion on data security in educational technology, positioning AES-256-CBC as a potent solution for maintaining academic integrity in digital testing environments.

@article{Afridon2024,
  title     = {Optimizing Data Security in Computer-Assisted Test Applications Through the Advanced Encryption Standard 256-Bit Cipher Block Chaining},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {8},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {M. Afridon and Agus Tedyyana and Fajar Ratnawati and Afis Julianto and M. Nur Faizi},
  doi       = {10.14569/IJACSA.2024.0150817},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150817}
}