Blockchain is a pioneering technology that allows the creation of innovative information exchange ecosystems thanks to unique properties, such as immutability, distribution and transparency. By combining this technology with the emergent internet of things (IoT), many innovative business models can be created. The main objective of this work is to present the design and an initial implementation of a decentralized rental system that takes advantage of smart contracts developed on a public blockchain, combined with the potential of the IoT and (...) its intimate relationship with cyber-physical systems. The logic to be implemented in the blockchain is applied in this paper by using the Ethereum programming language, so that the developed application covers the entire car rental process offered in traditional web applications, but adding more autonomy, functionalities and ease of use for both lessees and lessors. Following Ethereum application development guidelines, all business logic is located in the smart contracts implemented in the network, where they can be used to control the car rental system. While this is a work in progress, the results obtained in the first proof of concept have been very promising. (shrink)

This work presents a system to detect small boats to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned (...) objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people, kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications. (shrink)

The use of wireless sensor networks and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to manage (...) the uncertainty related to estimating forest fire occurrence and dynamic update of fuzzy sets is developed to distinguish usual and unusual environmental conditions of every monitored forest area. Merkle trees, AES and hash functions are considered to protect the integrity of environmental data. (shrink)

Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to estimate the (...) existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. Besides, the Analytic Hierarchy Process method is used to determine the level of fire spread, and, when necessary, environmental alerts are sent by a Web service and received by a mobile application. For this purpose, integrity, confidentiality, and authenticity of environmental information and alerts are protected with implementations of Lamport’s authentication scheme, Diffie-Lamport signature, and AES-CBC block cipher. (shrink)