An interference-resilient IIoT solution for measuring the effectiveness of industrial processes

The development and deployment of the so-called Industrial Internet of Things (IIoT) have significantly increased the control and monitoring capabilities of companies, and thus their potential productivity. In this paper, we propose the use of Raspberry Pi devices in industrial environments to mea-sure productivity parameters. Our proposal can economically and efficiently gather data related with the availability and productivity of industrial machinery. However, since low-cost devices are prone to suffer the negative effects of electromagnetic interferences, we additionally propose an alternative to prevent signal alterations caused by them. More specifically, we propose a filtering mechanism called Smart Coded Filter (SCF), which eliminates wrong signals caused by electromagnetic interferences, and, therefore, highly improves the accuracy when estimating the availability metric. Results obtained demonstrate that our low-cost device provided with the SCF completely ignores 100% of wrong availability data, while reducing up to 70% the number of records stored into the database

Providing resilience to UAV swarms following planned missions

As we experience an unprecedented growth in the field of Unmanned Aerial Vehicles (UAVs), more and more applications keep arising due to the combination of low cost and flexibility provided by these flying devices, especially those of the multirrotor type. Within this field, solutions where several UAVs team-up to create a swarm are gaining momentum as they enable to perform more sophisticated tasks, or accelerate task execution compared to the single-UAV alternative. However, advanced solutions based on UAV swarms still lack significant advancements and validation in real environments to facilitate their adoption and deployment. In this paper we take a step ahead in this direction by proposing a solution that improves the resilience of swarm flights, focusing on handling the loss of the swarm leader, which is typically the most critical condition to be faced. Experiments using our UAV emulation tool (ArduSim) evidence the correctness of the protocol under adverse circumstances, and highlight that swarm members are able to seamlessly switch to an alternative leader when necessary, introducing a negligible delay in the process in most cases, while keeping this delay within a few seconds even in worst-case conditions

Securing Warning Message Dissemination in VANETs using Cooperative Neighbor Position Verification

Efficient schemes for warning message dissemination in vehicular ad hoc networks (VANETs) use context information collected by vehicles about their neighbor nodes to guide the dissemination process. Based on this information, vehicles autonomously decide whether they are the most appropriate forwarding nodes. These schemes maximize their performance when all the vehicles advertise correct information about their positions, but position errors may drastically reduce the performance of the dissemination process. We present a proactive cooperative neighbor position verification protocol that detects nodes advertising false locations and selects optimal forwarders to mitigate the impact of adversarial users. We combine our mechanism with two warning dissemination schemes for VANETs and demonstrate how the latter can benefit from the use of our security scheme in the presence of malicious nodes trying to exploit known system vulnerabilities

A Markovian agent model for fire propagation in outdoor environments

Markovian Agent Models are a rather new modeling technique to deal with complex systems composed by a multitude of interacting entities, whose spatial location is also relevant in determining their interaction. An example of application to the study of outdoor fire propagation is provided. The dynamic of this phenomenon strongly depends both on the type of materials being incinerated and on the wind direction and intensity. Therefore, the ability of the model to correctly reproduce the fire propagation is closely related to the spatial dependent interactions among agents. Moreover, the model is flexible enough to analyse scenarios in variable environmental conditions, such as wind direction and intensity, and in the presence of fire-barriers which prevent flames from propagating

Wireless Networks for Vehicular Support

Vehicular Ad hoc NETworks (VANETs) is an area under intensive research that promises to improve security on the road by developing an intelligent transport system (ITS). The main purpose is to create an inter-communication network among vehicles, as well as between vehicles and the supporting infrastructure

On the Use of a Cooperative Neighbor Position Verification Scheme to Secure Warning Message Disseminationin VANETs

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works[EN] Efficient schemes for warning message dissemination in vehicular ad hoc networks (VANETs) use context information collected by vehicles about their neighbor nodes to guide the dissemination process. These schemes maximize their performance when all the vehicles advertise correct information about their positions, and hence position errors may drastically reduce the performance of the dissemination process. We present a proactive Cooperative Neighbor Position and Verification (CNPV) protocol that detects nodes advertising false locations so as to mitigate the impact of adversarial users. We combine our mechanism with two warning dissemination schemes for VANETs, and demonstrate how these algorithms can benefit from the use of our security scheme in the presence of malicious nodes trying to exploit the inherent vulnerabilities of each algorithm.This work was partially supported by the Ministerio de Ciencia e Innovacion´ , Spain, under Grant TIN2011-27543-C03-01, by the Fundaci´on Universitaria Antonio Gargallo and the Obra Social de Ibercaja, under Grant 2013/B010, as well as by the Diputacion General de Arag ´ on´ and the European Social Fund (T91 Research Group).Fogue, M.; Martínez, FJ.; Garrido, P.; Fiore, M.; Chiasserini, C.; Casetti, C.; Cano Escribá, JC.... (2013). On the use of a cooperative neighbor position verification scheme to secure warning message dissemination in VANETs. En Local Computer Networks (LCN), 2013 IEEE 38th Conference on. IEEE. 1-5. doi:10.1109/LCN.2013.6761248S1