Visible to the public Biblio

Filters: Keyword is Drone security  [Clear All Filters]
2022-07-29
Iqbal, Shahrear.  2021.  A Study on UAV Operating System Security and Future Research Challenges. 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC). :0759—0765.
The popularity of Unmanned Aerial Vehicles (UAV) or more commonly known as Drones is increasing recently. UAVs have tremendous potential in various industries, e.g., military, agriculture, transportation, movie, supply chain, and surveillance. UAVs are also popular among hobbyists for photography, racing, etc. Despite the possibilities, many UAV related security incidents are reported nowadays. UAVs can be targeted by malicious parties and if compromised, life-threatening activities can be performed using them. As a result, governments around the world have started to regulate the use of UAVs. We believe that UAVs need an intelligent and automated defense mechanism to ensure the safety of humans, properties, and the UAVs themselves. A major component where we can incorporate the defense mechanism is the operating system. In this paper, we investigate the security of existing operating systems used in consumer and commercial UAVs. We then survey various security issues of UAV operating systems and possible solutions. Finally, we discuss several research challenges for developing a secure operating system for UAVs.
2017-12-20
Viet, H. N., Kwon, K. R., Kwon, S. K., Lee, E. J., Lee, S. H., Kim, C. Y..  2017.  Implementation of GPS signal simulation for drone security using Matlab/Simulink. 2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON). :1–4.
In this paper, a simulation model of digital intermediate frequency (IF) GPS signal is presented. This design is developed based on mathematical model representing the digitized IF GPS signal. In details, C/A code, navigation data and P code, and the noise models are configured some initial settings simultaneously. Simulation results show that the simulated signals share the same properties with real signals (e.g. C/A code correlation properties, and the spread spectrum). The simulated GPS IF signal data can work as input for various signal processing algorithm of GPS receivers, such as acquisition, tracking, carrier-to-noise ratio (C/No) estimation, and GPS spoofing signal generation. Particularly, the simulated GPS signal can conduct scenarios by adjust SNR values of the noise generator during simulation (e.g. signal outages, sudden changes of GPS signal power), which can be used as setup experiments of spoofing/jamming interference to UAVs for drone security applications.