Multi Factor Authentication for Student and Staff Access Control

This paper proposes a model to improve security, by controlling who accesses the University of Zambia Campus, Student Hostels and Offices. The proposed model combines Barcode, RFID, and Biometrics Technology to automatically identify Students and Staff. A component to track visitors’ physical location and movements in real time is also included to ensure visitors go to authorized places. A baseline study based on International Standard Organisation 27002 standard was conducted to measure the level of security at UNZA. This result shows that UNZA has uncontrolled access into the campus environment, student hostels and offices. The results from this study were used to develop the proposed model. When the RFID reader installed at any of the entrances detects an RFID tag number, the system requests for a fingerprint scan and scans the database for a match. If both RFID card and fingerprint belong to a registered Student or Staff, the entrance door or Turnstile is released open and access is granted otherwise access is denied. In case of the visitor the National ID number is tied to the RFID tag number. The visitors’ RFID tag has a GPS module fixed to it. Once the visitor is granted access their movements and physical location are tracked in real time.

@article{Simukali2019,
  title     = {Multi Factor Authentication for Student and Staff Access Control},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {1},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Consuela Simukali and Jackson Phiri and Stephen Namukolo},
  doi       = {10.14569/IJACSA.2019.0100175},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100175}
}