Drone hacking with Raspberry-Pi 3 and WiFi Pineapple: security and privacy threats for the internet-of-things

The use of Internet-of-Things (IoT) technology is growing exponentially as more consumers and businesses acknowledge the benefits offered by the intelligent and smart devices. Drone technology is a rapidly emerging sector within the IoT and the risk of hacking could not only cause a data breach, it could also pose a major risk to the public safety. Thanks to their versatile applications and access to real-time data, commercial drones are used across a wide variety of smart city applications. However, as with many IoT devices, security is often an afterthought, leaving many drones vulnerable to hackers. This paper investigates the current state of drone security and demonstrates a set of WiFi enabled drone vulnerabilities. Five different types of attacks, together with the potential of automation of attacks, was identified and applied to two different types of commercially available drones. The communication links are investigated for the attacks, i.e. Denial of Service, Deauthentication Methods, Man-in-the-Middle, Unauthorised Root Access and Packet Spoofing. Lastly, the unauthorised root access was automated through the use of a Raspberry-Pi 3 and WiFi Pineapple. Furthermore, we outlined the methodology for each attack, and the experimental part outlines the findings and processes of the attacks. Finally, the paper addresses the current state of drone security, management, control, resilience, security, and privacy concerns

Sistema de localización indoor y outdoor para un mini vehículo aéreo autónomo no tripulado utilizando módulos wi-fi

Ante el constante desarrollo de la tecnología este ha dado origen a la demanda de aplicaciones, que precisan de más información del usuario, para la satisfacción de sus necesidades. La localización forma parte de tales necesidades, esto da lugar al avance de diferentes sistemas que reclaman precisión y rapidez en tiempo real, que sufren ciertas anomalías por el ruido, obstáculos, condiciones climáticas que provoca el sombreado, efecto multi-trayectoria y pérdida de la misma. El presente proyecto tiene como objetivo desarrollar un sistema de localización que considera el uso de módulos emisores y receptores que permiten mejorar el procesamiento y disminuir el consumo de energía, para optimar la estimación de posición en ambientes internos y externos en escenarios diferentes. Para llevar a cabo el diseño e implementación de este sistema sigue ciertas especificaciones de la metodología ciencia del diseño que da inicio a la construcción de nodos sensores inteligentes que modula y optimiza métodos de localización para el posicionamiento de un mini drone, que tiene como característica principal la navegación autónoma marcada por una ruta trazada. Se realizaron diferentes evaluaciones de estado (estático y dinámico) del UAV (Unmanned Aerial Vehicles, Vehículo Aéreo No Tripulado), en dos entornos diferentes cada uno con diferente magnitud, con los que se obtuvo el ángulo donde se encuentra la potencia máxima, y con ello el cálculo de error de precisión. Posteriormente se procede a interpretar cada uno de estos datos, determinando que el sistema de localización propuesto tiende a mejorar en cuanto a la estimación de localización y da opción a la modelación de un objeto o del ambiente en 3D o un medio fotográfico

Autonomous wheelchair with a smart driving mode and a Wi-Fi positioning system

Wheelchairs are an important aid that enhances the mobility of people with several types of disabilities. Therefore, there has been considerable research and development on wheelchairs to meet the needs of the disabled. Since the early manual wheelchairs to their more recent electric powered counterparts, advancements have focused on improving autonomy in mobility. Other developments, such as Internet advancements, have developed the concept of the Internet of Things (IoT). This is a promising area that has been studied to enhance the independent operation of the electrical wheelchairs by enabling autonomous navigation and obstacle avoidance. This dissertation describes shortly the design of an autonomous wheelchair of the IPL/IT (Instituto Politécnico de Leiria/Instituto de Telecomunicações) with smart driving features for persons with visual impairments. The objective is to improve the prototype of an intelligent wheelchair. The first prototype of the wheelchair was built to control it by voice, ocular movements, and GPS (Global Positioning System). Furthermore, the IPL/IT wheelchair acquired a remote control feature which could prove useful for persons with low levels of visual impairment. This tele-assistance mode will be helpful to the family of the wheelchair user or, simply, to a health care assistant. Indoor and outdoor positioning systems, with printed directional Wi-Fi antennas, have been deployed to enable a precise location of our wheelchair. The underlying framework for the wheelchair system is the IPL/IT low cost autonomous wheelchair prototype that is based on IoT technology for improved affordability