Search results for "Crypt"
showing 10 items of 1111 documents
Volumetric Bias Correction
2007
This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem. In this work we present the 3D version of a new approach to bias correction, which is called Exponential Entropy Driven Homomorphic Unsharp Masking (E2D-HUM). This technique has been already presented by some of the authors for the 2D case only. The description of the whole method is detailed, and some experimental results are reported.
An Encrypted Traffic Classification Framework Based on Convolutional Neural Networks and Stacked Autoencoders
2020
In recent years, deep learning-based encrypted traffic classification has proven to be effective; especially, using neural networks to extract features from raw traffic to classify encrypted traffic. However, most of the neural networks need a fixed-sized input, so that the raw traffic need to be trimmed. This will cause the loss of some information; for example, we do not know the number of packets in a session. To solve these problems, a framework, which implements both a convolutional neural network (CNN) and a stacked autoencoder (SAE), is proposed in this paper. This framework uses a CNN to extract high-level features from raw network traffic and uses an SAE to encode the 26 statistica…
Human capital and life satisfaction among circular migrants: an analysis of extended mobility in Europe
2019
This article extends understandings of circular migration among young migrants (aged 16–35) by focusing on the two key concepts of human capital and life satisfaction. Drawing on a large-scale quan...
Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework
2016
Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare …
Efficient distributed average consensus in wireless sensor networks
2020
International audience; Computing the distributed average consensus in Wireless Sensor Networks (WSNs) is investigated in this article. This problem, which is both natural and important, plays a significant role in various application fields such as mobile agents and fleet vehicle coordination, network synchronization, distributed voting and decision, load balancing of divisible loads in distributed computing network systems, and so on. By and large, the average consensus' objective is to have all nodes in the network converged to the average value of the initial nodes' measurements based only on local nodes' information states. In this paper, we introduce a fully distributed algorithm to a…
Understanding the determinants of the magnitude of entity-level risk and account-level risk key audit matters: The case of the United Kingdom
2019
Abstract This study was conducted to analyse the influence of auditor and client characteristics on the magnitude and type of key audit matters (KAM) disclosed in the audit reports of the FTSE 100 companies in the UK during the period 2013–2016. A recently introduced standard requires auditors to reveal the main risks faced by the client and to describe how these are addressed in the audit. Our results show that Deloitte, EY and KPMG tend to report fewer entity-level-risk KAM (ELRKAM) than PwC, while KPMG and BDO report fewer account-level-risk KAM (ALRKAM) than PwC. In general, auditors of companies that pay higher audit services fees present more ELRKAM and fewer ALRKAM. Our findings also…
Las cuestiones clave de auditoría esperadas en España: ¿son los auditores previsibles?
2019
La modificación del contenido del informe de auditoria responde a la aplicación de la exigencia impuesta por el art. 5 de la Ley de Auditoria y concretada por la NIA-ES 701 “Cuestiones clave de auditoria” (CCA) (ICAC, 2016). Como novedad se exige al auditor que, atendiendo a su juicio profesional, muestre en el informe los riesgos más significativos de la auditoría de la empresa y las respuestas a esos riesgos. Debido a que dentro del entorno europeo, el Reino Unido ya viene informando de dichos riesgos desde 2013 y que en España todavía no disponemos de los mismos, hemos planteado esta investigación. El objetivo es pronosticar el nivel de CCA que previsiblemente nos encontraremos en España…
Analyzing the security of Windows 7 and Linux for cloud computing
2013
We review and analyze the major security features and concerns in deploying modern commodity operating systems such as Windows 7 and Linux 2.6.38 in a cloud computing environment. We identify the security weaknesses and open challenges of these two operating systems when deployed in the cloud environment. In particular, we examine and compare various operating system security features which are critical in providing a secure cloud. These security features include authentication, authorization and access control, physical memory protection, privacy and encryption of stored data, network access and firewalling capabilities, and virtual memory.
Optical security and encryption with totally incoherent light
2001
We present a method for securing and encrypting information optically by use of totally incoherent illumination. Encryption is performed with a multichannel optical processor working under natural (both temporal and spatially incoherent) light. In this way, the information that is to be secured can be codified by use of color signals and self-luminous displays. The encryption key is a phase-only mask, providing high security from counterfeiting. Output encrypted information is recorded as an intensity image that can be easily stored and transmitted optically or electrically. Decryption or authentication can also be performed optically or digitally. Experimental results are presented.
Blockchain based Device identification and authentication in a Smart Grid
2020
The power grid is a critical infrastructure of a country that needs protection and security. According to the report of the International Energy Agency, the electricity demand is constantly increasing the world over. Countries are moving towards green energy and efforts are being made to integrate these green energy into the main grid. Smart Grid will improve the reliability and efficiency of the grid by managing the energy demand. Cyber-attacks and cyber terrorism is also increasingly targeting the electrical grid. Intruders may try to gain access to the grid by exploiting the vulnerability of the grid. IEDs/devices are the endpoints of the network and they are the weakest link in the enti…