15 research outputs found
Dépistage sans cycloplégie des anomalies réfractives chez l’enfant préscolaire: performances comparées du Rétinomax et du Plusoptix
info:eu-repo/semantics/nonPublishe
A novel detection approach of unknown cyber-attacks for intra-vehicle networks using recurrence plots and neural networks
Proliferation of connected services in modern vehicles could make them vulnerable to a wide range of cyber-attacks through intra-vehicle networks that connect various vehicle systems. Designers usually equip vehicles with predesigned counter-measures, but these may not be effective against novel cyber-attacks. Intrusion Detection Systems (IDSs) serve as an additional layer of defence when conventional measures that are implemented by the designers fail. Several intrusion detection techniques have been proposed in the literature but these techniques have limited capability in detecting novel cyber-attacks. This paper proposes a new Machine Learning (ML)-based IDS for detecting novel cyber-attacks in intra-vehicle networks, specifically in Controller Area Networks (CANs). The proposed IDS generates high-level representations of CAN messages transmitted on the bus exploiting their temporal properties as well as the intra and inter message dependencies through the use of Recurrence Plot (RP), which are then fed into a bespoke Neural Network, designed and trained to detect novel intrusions. Evaluation of the performance of the proposed IDS in comparison with that of the state-of-the-art existing IDS schemes demonstrates the superiority of the proposed IDS
Micromechanical Behaviour of Asphalt Concrete Based on X-ray Computed Tomography Images and Random Generation of Heterogeneous Aggregates Skeleton
International audienc
Feasibility of using phosphate wastes for enhancing high-temperature rheological characteristics of asphalt binder
Crystal structure and phase transitions in new series of double perovskite oxides Ba2‐xSrxCaTeO6 (0≤x≤2): X‐ray diffraction and Raman spectroscopy studies
The structure stability of double perovskite ceramics Ba2‐xSrxCaTeO6 (0≤x≤2) has been studied using X‐ray powder
diffraction (XRD) and Raman spectroscopy. According to the Rietveld refinement three phase transitions induced by
compositional changes are reported. The transition from the cubic symmetry to tetragonal (Fm m → I4/m) is observed for
x between 0.4 and 0.6. The second transition from tetragonal symmetry to monoclinic symmetry with I2/m as a space
group takes place between x = 0.6 and 0.8. The third phase transition, monoclinic to monoclinic (I2/m → P21/n), is located
between x = 1.4 and 1.6. Furthermore, considerable changes of the compositional dependence of the Raman modes
recorded at ambient conditions confirm occurance of the phase transitions revealed by the X‐ray studies