AI implementation in Airport System: A study of Vulnerabilities and Countermeasures

Many organizations are using AI and IoT to make their operations run smoothly. The AIoT is even better since it combines technology and removes the burden of sending the data to be processed outside the IoT device. In this paper, the focus will be on the facial recognition cameras that are being used in airports and their ability to detect criminals and passengers who approach doing illegal activities. This technology saves time and effort for airport employees and passengers and offers security.

It might bring some concerns too, since facial recognition data are biometric data, and passengers might be concerned about their facial data being abused or sold or accessed by other organizations. In this paper, the NIST Risk Management Framework will be applied to an airport organization that is using facial recognition technology to verify passengers. Also, the Disaster Recovery Plan and Business Continuity Plan will be developed for such an organization. The Top Ten IoT vulnerabilities from OWASP that might affect the facial recognition application will be listed and detailed. Finally, a framework will be proposed to show the organization’s security and awareness, and eight security policies selected from SANS policy templates will be listed and detailed.