1,721,083 research outputs found
Passenger satisfaction as a formative second-order construct. solving the matter of identification through a hybrid two-step approach
No full textTrust-related Attacks and their Detection: a Trust Management Model for the Social IoT
Full text linkThe integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things paradigm, according to which the objects are capable of establishing social relationships in an autonomous way with respect to their owners. Within this scenario“, things" interact opportunistically with their peers to seek needed services. However, attacks and malfunctions in the IoT can outweigh any of its benefits if not handled adequately. In this paper, we focus on the possible types of trust attacks that can affect the IoT and propose a trust management model able to overcome all the analyzed attacks. Simulations show how the proposed model can effectively isolate almost any malicious nodes in the network at the expense of an increase in the number of transactions needed for the model to converge
An optimization model for energy saving in the heatingof buildings
No full textThe use of optimization techniques has been recently advocated in order to improve the energy performance of the design of buildings. The objective function in our model accounts both for the heating cost and the cost of insulation materials so that its minimization, with respect to a meaningful set of technological and architectural variables, yields a sequence of designs of decreasing "cost", converging to that design which ensures, for the weather conditions of the site of the buildings, the optimal balance between the cost of additional insulation and the related energy saving
A SCANNING ELECTRON AND ATOMIC FORCE MICROSCOPY STUDY OF THE SURFACE MORPHOLOGY AND COMPOSITION OF CsI FILMS AS AFFECTED BY EVAPORATION RATE AND HUMID AIR EXPOSURE
No full textA Social-Aware approach for federated iot-mobile cloud using matching theory
No full textIn the Internet of Things (IoT) scenario, the deployment of integrated environments have pushed forward the collaboration of heterogeneous devices to match wide-ranging user requirements. However, several open challenges need to be solved such as the intrinsic unreliability of IoT devices as well as the variety in users' preferences when sharing their devices. In this paper, we give a contribution by proposing a novel hybrid paradigm to support the cooperation among IoT devices and exploit their unused resources. Our solution is based on the Social IoT concept (SIoT), where objects are connected to the Internet create a dynamic social network based on the rules set by their owner. In particular, we introduce the concept of Social Mobile-IoT Clouds (SMICs), where heterogeneous devices combine their resources to serve other co-location devices requirements. In the proposed mechanism, the notion of object sociality is considered to build the required trustworthiness among devices. To this aim, we make use of a Many to Many (M-M) assignment game based on matching theory to support the cooperation among devices. Our simulation results confirm the enhancements achievement in terms of percentage of resources being successfully assigned
Using an IoT Platform for Trustworthy D2D Communications in a Real Indoor Environment
Full text linkThe constantly increasing need for data exchange among various types of devices, mobile and fixed, is one of the main characteristics of technological developments in the last few years. Within this context, the possibility to deliver content to more devices into the same domestic environment is very interesting for both consumers and service providers. The main hurdle for device to device (D2D) communications is the available bandwidth and, implicitly, the used radio technology and frequency range. From this point of view, so called TV white spaces (TVWSs) are an ideal candidate for short range communications, but have the problem of interference management with the licensed services already operating there. This problem can be alleviated by using cooperative, distributed spectrum sensing techniques. This paper proposes an innovative approach for D2D communications in a real indoor environment, based on a social Internet of Things (SIoT) architecture able to involve all participating objects in a twofold procedure, gathering both spectrum sensing and quality of service data, and weighting the received information using a novel trustworthiness algorithm. The algorithm, together with the entire SIoT architecture, has been implemented and extensively tested in a real indoor environment
Trustworthiness Management in the Social Internet of Things
No full textThe integration of social networking concepts into the Internet of things has led to the Social Internet of Things (SIoT) paradigm, according to which objects are capable of establishing social relationships in an autonomous way with respect to their owners with the benefits of improving the network scalability in information/service discovery. Within this scenario, we focus on the problem of understanding how the information provided by members of the social IoT has to be processed so as to build a reliable system on the basis of the behavior of the objects. We define two models for trustworthiness management starting from the solutions proposed for P2P and social networks. In the subjective model each node computes the trustworthiness of its friends on the basis of its own experience and on the opinion of the friends in common with the potential service providers. In the objective model, the information about each node is distributed and stored making use of a distributed hash table structure so that any node can make use of the same information. Simulations show how the proposed models can effectively isolate almost any malicious nodes in the network at the expenses of an increase in the network traffic for feedback exchange
IoT for the users: Thermal comfort and cost saving
Full text linkInterconnection of objects via the Internet of Things (IoT) is playing a key role in tackling problems related to energy consumption, which affect environment and sustainability. In particular over 30% of the global energy consumption resides in Heating, Ventilation and Air Conditioning (HVAC) usage inside buildings. Usage awareness and efficient management of HVAC have the potential to significantly reduce related costs. Nevertheless, strict saving policies may contrast with users' comfort: people will accept changes in their habits only if these changes do not affect their comfort. This paper proposes a smart system consisting of 5 HVAC distributed over 5 rooms and a solar photovoltaic farm. The goal of the system is to propose a user-centric approach, which is able to find the most appropriate working times for the 5 HVAC systems so to have a trade-off between the thermal comfort for all the users in the rooms and its related cost, taking into account information inferred from the context, such as room occupancy and external temperature. The system is based on the Social Internet of Things (SIoT) paradigm to augment real world objects with a virtual counterpart that leverages social consciousness to interact with other objects. Experimental results show how the implemented system is able to learn users' habits and to allow significant financial savings without sacrificing user comfort
An Evaluation of Service Discovery Mechanisms for a Network of Social Digital Twins
No full textDue to the continuous expansion of the Internet of Things (IoT) and its related applications, service discovery nowadays represents a crucial mechanism that enables devices to look efficiently for the desired services. In this regard, a new paradigm, namely Social IoT, has been recently introduced according to which the devices are capable of establishing social relationships in an autonomous way with respect to the rules set by their owners. Within this scenario, 'things' interact opportunistically with their peers to provide composite services for the benefit of human beings. In this sense, this paper proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for the Social IoT and studies their relative importance based on a dataset of real objects. On the basis of the parameters' importance, then an efficient service discovery algorithm is proposed, and experiment evaluations are conducted to show its performance in comparison to traditional approaches. Final simulations prove that the proposed mechanism can discover desired services in a fast and autonomous manner
Crowdsensing and Trusted Digital Twins for Environmental Noise Monitoring
No full textThis paper introduces an innovative Mobile Crowd Sensing (MCS) system and the related architecture to aggregate data with the goal of monitoring the noise within an indoor environment. Two of the most common problems with MCS systems are related to measurement localization and their trustworthiness. While GPS data is commonly used for outdoor MCS tasks, indoor environments present challenges for location-based measurements. In this sense, the proposed system makes use of Bluetooth beaconing to identify the rooms, while students’ smartphones act as sensors for noise evaluation. Moreover, to ensure data reliability and weed out malicious contributions by students, a trust management system is implemented, isolating users with anomalous measurements without completely excluding them from participation. The proposed solution revolves around the concept of digital twins (DTs), where physical objects and individuals are represented virtually. The key contributions of the research include the development of a crowdsensing system for the monitoring of environmental noise through trusted digital twins and a performance analysis conducted in a real-world scenario involving three university offices
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