Abstract

ZAPATA-MADRIGAL, Germán D  and  GARCIA SIERRA, Rodolfo. CyberDrone: a cybersecurity platform for drone attack detection. Ing. Desarro. [online]. 2021, vol.39, n.1, pp.44-65.  Epub Oct 22, 2021. ISSN 0122-3461.  https://doi.org/10.14482/inde.39.1.621.389.

This document presents the development of a cybersecurity platform for unmanned aerial vehicles (uav), or drones, based on cyber-deception technology. This technology is based on the deliberate creation of easily accessible and detectable decoys (or honeypots) to detect potential intruders at the perimeter of a critical infrastructure. This document contains an explanation of the conceptual model of the proposed solution, and a detailed description of each of the developed procedures. A technological development methodology was implemented in this paper. Also, procedures were developed for the creation of honeypots in Wi-Fi wireless networks and in radio frequency bands, and the approach to the development of a gps spoofing procedure was included. The latter was explored using software defined radio equipment (sdr) for the impersonation of gps signals, which allows for the implementation of defense strategies against attacking drones. Finally, a web platform to monitor active decoys, and to register penetration attempts, is described. These penetration attempt records are stored in a blockchain, developed with basis on Ethereum technology. It was found that Wi-Fi and radio frequency wireless networks have vulnerabilities that can be exploited by potential attackers. Also, that the gps spoofing procedure is much more complex than procedures by wireless networks, but it would allow to take action on attacking drones.

Keywords : cyber-deception; cybersecurity drone; gps Spoofing; honeypot; radiofrequency.

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