Poster 4

Abdullah Kamal

Texas State University

Title: Zoning for Regulating Unmanned Aerial Systems Access Control

Abstract: With the utilization of unmanned aerial systems becoming increasingly popular, many issues arise regarding security and privacy. Companies such as Amazon and Google are incorporating drones into their own delivery systems. Given this new market, flying over private property raises security and privacy issues. This paper proposes developing zones that utilize Attribute-Based Access Control (ABAC) to allow users to define authorization based on designated policies. With zones that highlight no-fly airspaces, companies will be able to pilot their drones with a lowered chance of interference and legal retribution. This proposed zoning technique will allow property owners to determine which level of privacy they wish to enforce. Utilizing a map that incorporates zoning preferences, our drone path planning algorithm is planned to legally and safely designate a path for any commercial drone flight. Through simulations and indoor testing, we confirmed that our algorithm was able to convert zoning data specified in our application into an optimal path. In this presentation, we demonstrate a solution that connects property owners with prospective drone delivery companies to allow for transparency and optimal system security.