Desarrollo de aplicación web para análisis de riesgos en hogares inteligentes con ecosistemas IoT.

Abstract

The Internet of Things (IoT) ecosystem present in smart homes generates a large amount of sensitive data that is compromised by the increase in cyberattacks aimed at this technology, affecting the privacy and security of homes. The risk analysis will allow estimating the state of the risk to which the smart home is exposed, managing to inform the user to make decisions to reduce the risk. Currently there are few software tools that allow an estimated value of the computer security risk in IoT ecosystems to be obtained; the existing ones are aimed solely at traditional information technology (IT) infrastructures. In the present work, a web application is developed for qualitative risk analysis in smart homes with IoT ecosystems, using the risk analysis method based on the Magerit version 3.0 methodology. The application allows to automate the information collection process to estimate the value of the risk later automatically with criteria of the methodology, speeding up the manual process as it is commonly done. This means that the calculation of the risk status is efficient and faster, thus achieving the improvement of decision-making to ensure the smart home. The project was developed under the ISO/IEC 29110 standard and the Scrum framework with the aim that the development is of quality, orderly and can be replicated with improvements for future implementations.