Estado del arte de los métodos de seguridad de datos aplicados en internet de las cosas

Abstract

The purpose of this research is to create the state of the art of techniques and processes used in the field of engineering, using a systematic mapping focused on data security methods applied in the Internet of Things. The work collects documents from 2017 using systematic literature mapping and a systematic review applying the PRISMA method, complying with methodological rigor and quality. Obtaining one of the most used methods as used by 52.8% in companies, also anomaly monitoring and intrusion detection, rolebased access control, key management and device and user authentication, in addition protocols used to establish communication and transfer information securely between different devices, such as MQTT, which is used by 38.3% for real-time data communication, JWT, AMQP, DDS and HTTP, which is used by 70% of IoT developers, accompanying these mechanisms with good practices and being aware of the negative consequences of bad practice, guaranteeing data security in IoT devices.