Search results for "TRUS"
showing 10 items of 1249 documents
Fuzzy Logic Based Security Trust Evaluation for IoT Environments
2019
In the new technological era called the Internet of Things (IoT), people, machines and objects communicate with each other via the Internet by exchanging information. In this context, trust plays an important role and is considered as a key factor in the success of the IoT services expansion. IoT services and applications use in some cases data concerning the privacy of their users. Consequently, users should trust the entities exchanging their personal information. In this paper, we present a framework that evaluates the security trust level of IoT nodes based on a Fuzzy Logic model using different input parameters such as Device Physical Security, Device Security Level and Device Ownershi…
Structural performances of pultruded GFRP emergency structures – Part 2: Full-scale experimental testing
2019
Abstract This paper presents an experimental testing of a pultruded glass fiber reinforced polymer (FRP) structure used for emergency applications continuing the discussion presented in a previous paper (part 1) where the study of the characteristics of material and elements are presented. First, the design of the composite structure and components and the evaluation of the structural behavior by means of numerical and analytical approach according to current regulatory codes are described. In this frame, the global and local response was observed according to load paths deriving from the design loads at limit states. Then, the experimental test on a full-scale 2D model is presented at diff…
Estimating Accuracy of Mobile-Masquerader Detection Using Worst-Case and Best-Case Scenario
2006
In order to resist an unauthorized use of the resources accessible through mobile terminals, masquerader detection means can be employed. In this paper, the problem of mobile-masquerader detection is approached as a classification problem, and the detection is performed by an ensemble of one-class classifiers. Each classifier compares a measure describing user behavior or environment with the profile accumulating the information about past behavior and environment. The accuracy of classification is empirically estimated by experimenting with a dataset describing the behavior and environment of two groups of mobile users, where the users within groups are affiliated with each other. It is as…
Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection
2017
The rapid growing trend of mobile devices continues to soar causing massive increase in cyber security threats. Most pervasive threats include ransom-ware, banking malware, premium SMS fraud. The solitary hackers use tailored techniques to avoid detection by the traditional antivirus. The emerging need is to detect these threats by any flow-based network solution. Therefore, we propose and evaluate a network based model which uses ensemble Machine Learning (ML) methods in order to identify the mobile threats, by analyzing the network flows of the malware communication. The ensemble ML methods not only protect over-fitting of the model but also cope with the issues related to the changing be…
Assessment of Deep Learning Methodology for Self-Organizing 5G Networks
2019
In this paper, we present an auto-encoder-based machine learning framework for self organizing networks (SON). Traditional machine learning approaches, for example, K Nearest Neighbor, lack the ability to be precisely predictive. Therefore, they can not be extended for sequential data in the true sense because they require a batch of data to be trained on. In this work, we explore artificial neural network-based approaches like the autoencoders (AE) and propose a framework. The proposed framework provides an advantage over traditional machine learning approaches in terms of accuracy and the capability to be extended with other methods. The paper provides an assessment of the application of …
Automation Inner Speech as an Anthropomorphic Feature Affecting Human Trust: Current Issues and Future Directions
2021
This paper aims to discuss the possible role of inner speech in influencing trust in human–automation interaction. Inner speech is an everyday covert inner monolog or dialog with oneself, which is essential for human psychological life and functioning as it is linked to self-regulation and self-awareness. Recently, in the field of machine consciousness, computational models using different forms of robot speech have been developed that make it possible to implement inner speech in robots. As is discussed, robot inner speech could be a new feature affecting human trust by increasing robot transparency and anthropomorphism.
Politiche antitrust e diritti dei consumatori in Italia dopo le recenti riforme
2013
Il saggio si sofferma sul modello di azione di classe, come delineato nell'art. 140 bis codice di consumo, dopo l'ennesima revisione intervenuta ad opera del Decreto legge 24 gennaio 2012, n. 1 convertito nella Legge 24 marzo 2012 n.27. In particolare, il passaggio dal riferimento a i "diritti identici" a i "diritti omogenei" , con le relative implicazioni, e il rivisto congegno di quantificazione del danno. La disamina dei problemi applicativi è svolta in costante raffronto con le più mature esperienze ( e i problemi ivi prospettatisi), della class action di matrice anglosassone. Anche alla luce del nuovo art.37 bis codice di consumo ( controllo in via amministrativa delle clausole abusive…
Seismic Performance of Earthquake-Resilient RC Frames Made with HSTC Beams and Friction Damper Devices
2021
Seismic behavior of RC frames with hybrid steel-trussed concrete beams is affected by panel zone damage due to a large amount of longitudinal reinforcement. Here the seismic efficiency of innovative frames characterized by friction damper devices (FDDs) at beam-to-column connections is compared against traditional frame. Three configurations are investigated: FDDs alone; FDDs with column-to-foundation connections having preloaded threaded bars and disk springs; FDDs with self-centering friction devices. Non-linear analyses show that FDDs alone prevent plastic hinge formation at beam ends and beam–column joint damage. FDDs with self-centering friction devices effectively limit both peak and …
Winning the hearts and minds of followers: The interactive effects of followers' emotional competencies and goal setting types on trust in leadership
2015
La confianza de los seguidores es un elemento esencial de un liderazgo eficaz. Las aproximaciones tempranas a la formación de la confianza hacia los líderes, adoptaron un enfoque basado en evaluaciones basadas en información. Sin embargo, avances recientes en la investigación de la confianza sugiere que estas evaluaciones también contienen un componente afectivo. En este estudio proponemos que las competencias emocionales, como (1) atención, (2) claridad y (3) reparación emocional predecirán la confianza hacia el líder en momentos tempranos de la relación líder-seguidor. A medida que esta relación se desarrolla en el tiempo, las evaluaciones sobre la fiabilidad del líder cambiaran su objeti…
Análisis de los factores determinantes de la lealtad hacia los servicios bancarios online
2011
ResumenEl rápido crecimiento de la banca online refleja las ventajas que ésta ofrece respecto a las sucursales convencionales. No obstante, son muchos los consumidores que todavía utilizan los servicios bancarios online de forma esporádica, fundamentalmente para la comprobación de saldos, evitando realizar transacciones con un mayor nivel de riesgo. El objetivo de este estudio es analizar los factores determinantes de la lealtad hacia los servicios bancarios online, a través de un modelo integrador de la influencia del riesgo percibido y la confianza en las webs bancarias con el marco conceptual de la Teoría del Comportamiento Planificado (TCP). La configuración del riesgo percibido se ha p…