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Cyber defence training, a milestone in cyber security education is an interdisciplinary, complex and dynamic concept. The paper focuses on presenting different approaches of Cyber Defence Exercises that can be used for the development of training. Cyber Exercises enable testing and evaluating existing skills while discovering new capabilities to respond to security incidents. The aim of this paper is to provide up-to-date information about Cyber exercises, probably the most challenging and interesting aspect of future education and training. [ABSTRACT FROM AUTHOR]

The AES algorithm is suitable for being implemented in both hardware and software applications. Compared to software implementations of the cryptographic algorithm, the hardware implementations have the advantage of increased throughput and better security. This paper proposes an efficient pipelined architecture for implementing the AES algorithm using FPGAs. [ABSTRACT FROM AUTHOR]

Cloud computing technologies have an important place in today's digital environment as they offer the user attractive benefits such as information backup, file storage, renting virtual machines. In this context we need to know exactly where, when and how a piece of data is processed and, even more, we need to know what is happening in a datacenter at the virtual machine level. This means we must have installed, at the datacenter level, a system that can detect anomalies based on the usage pattern of virtual machines. In this paper we will present a novel way of monitoring virtual machine activity in datacenters and how we use this information in order to train our automated anomalies machine learning modules. [ABSTRACT FROM AUTHOR]

The estimation of local ridge orientation in fingerprint image processing is a very important stage. Reliable directional images can be extracted from fingerprint images by using the fast Fourier transform and directional filters. In this paper, two FFT approaches for estimating the local ridge orientation in fingerprint images were considered. Experiments were conducted on a set of fingerprints to evaluate the two methods, both quantitatively and qualitatively. The experimental results show that the proposed directional filter can extract more accurate directional images in fingerprint images. [ABSTRACT FROM AUTHOR]