M. Victoria Moreno

Applicability of Big Data Techniques to Smart Cities Deployments

This paper presents the main foundations of big data applied to smart cities. A general Internet of Things based architecture is proposed to be applied to different smart cities applications. We describe two scenarios of big data analysis. One of them illustrates some services implemented in the smart campus of the University of Murcia. The second one is focused on a tram service scenario, where thousands of transit-card transactions should be processed. Results obtained from both scenarios show the potential of the applicability of this kind of techniques to provide profitable services of smart cities, such as the management of the energy consumption and comfort in smart buildings, and the detection of travel profiles in smart transport.

SAFIR: Secure access framework for IoT-enabled services on smart buildings

Abstract Recent advances on ubiquitous computing and communication technologies are enabling a seamless integration of smart devices in the Internet infrastructure, promoting a new generation of innovative and valuable services for people. Nevertheless, the potential of this resulting ecosystem may be threatened if security and privacy concerns are not properly addressed. In this work, we propose an ARM-compliant IoT security framework and its application on smart buildings scenarios, integrating contextual data as fundamental component in order to drive the building management and security behavior of indoor services accordingly. This framework is instantiated on a holistic platform called City explorer, which is extended with discovery and security mechanisms. Such platform has been validated in a reference smart building, where reasonable results of energy savings, services discovery and authorization are achieved.

Privacy-Preserving Security Framework for a Social-Aware Internet of Things

As smart objects are getting part of our personal space, the new associated services must tackle both, the inherent requirements of IoT and the needs of citizens using such services. Security, trust and privacy concerns are the cornerstone requirements of a social Internet of Things, where users want to share and obtain information in a huge opportunistic environment of connected devices and services. The paper presents an IoT security framework, being devised in the scope of SOCIOTAL EU project, which is based on the Architecture Reference Model (ARM) of IoT-A EU project. The framework extends the traditional ARM putting strong emphasis on security, trust and privacy concerns in order to cope with more opportunistic and secure sharing models required in a social-aware IoT scenarios, where users can set up dynamically communities and bubbles of devices and users.

Big data: the key to energy efficiency in smart buildings

Due to the high impact that energy consumption by buildings has at global scale, energy-efficient buildings to reduce

A soft computing based location-aware access control for smart buildings

\mathrm{CO}_2

An IoT based framework for user-centric smart building services

CO2 emissions and energy consumption are needed. In this work we present a novel approach to energy saving in buildings through the identification of the relevant parameters and the application of Soft Computing techniques to generate predictive models of energy consumption in buildings. Using such models it is possible to define strategies for optimizing the day-to-day energy consumption of buildings. To verify the feasibility of this proposal, we apply our approach to a reference building for which we have contextual data from a complete year of monitoring. First, we characterize the building in terms of its contextual features and energy consumption, and then select the most appropriate techniques to generate the most accurate model of our reference building charged with estimating the energy consumption, given a concrete set of inputs. Finally, considering the energy usage profile of the building, we propose specific control actions and strategies to save energy.

A holistic IoT-based management platform for smart environments

The vision of SMARTIE (Secure and sMARter ciTIEs data management) is to create a distributed framework for IoT-based applications storing, sharing and processing large volumes of heterogeneous information. This framework is envisioned to enable end-to-end security and trust in information delivery for decision-making purposes following the data owners privacy requirements. SMARTIE follows a data-centric paradigm, which will offer highly scalable and secure information for smart city applications. The heart of this paradigm will be the “information management and services” plane as a unifying umbrella, which will operate above heterogeneous network devices and data sources, and will provide advanced secure information services enabling powerful higher-layer applications.

A Framework for Citizen Participation in the Internet of Things

The evolution of wireless communications and pervasive computing is transforming current physical spaces into real smart environments. These emerging scenarios are expected to be composed by a potentially huge amount of heterogeneous smart objects which can be remotely accessed by users via their mobile devices anytime, anywhere. In this paper, we propose a distributed location-aware access control mechanism and its application in the smart building context. Our approach is based on an access control engine embedded into smart objects, which are responsible to make authorization decisions by considering both user location data and access credentials. User location data are estimated using a novel indoor localization system based on magnetic field data sent by user through her personal phone. This localization system implements a combination of soft computing techniques over the data collected by smartphones. Therefore, our location-aware access control mechanism does not require any intermediate entity, providing the benefits of a decentralized approach for smart environments. From the results obtained, we can consider our proposal as a promising approach to tackle the challenging security requirements of typical pervasive environments.