End users of computer networks are vulnerable to a growing number of threats posed by sophisticated online *** first step in mitigation and protection against online attacks is to understand the nature and tools of th...
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End users of computer networks are vulnerable to a growing number of threats posed by sophisticated online *** first step in mitigation and protection against online attacks is to understand the nature and tools of the *** provide a platform by which online attacks can be *** are versatile security tools designed on the principle of deception and deployed to perform a wide range of *** functionalities range from data collection and information gathering on attacks targeting server side services or client applications and browsers,to malware collection,attack diversion and SPAM *** on the type of attack,honeypots with different architectures and interaction levels have been *** components of honeypots have also been integrated to create hybrid honeypots to tackle drawbacks of each *** aim of this paper is to illustrate the different designs of honeypots,their components and provide a brief study of their security features.
The Ray Tracing rendering algorithm can produce high-fidelity images of 3-D scenes, including shadow effects, as well as reflections and transparencies. This is currently done at a processing speed of at most 30 frame...
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The following paper presents the concept of matching social network and corporate hierarchy in organizations with stable corporate structure. The idea allows to confirm whether social position of an employee calculate...
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Telemedicine is a very important area in medical field that is expanding daily motivated by many researchers interested in improving medical applications. In Brazil was started in 2005, in the State of Santa Catarina ...
Telemedicine is a very important area in medical field that is expanding daily motivated by many researchers interested in improving medical applications. In Brazil was started in 2005, in the State of Santa Catarina has a developed server called the CyclopsDCMServer, which the purpose to embrace the HDF for the manipulation of medical images (DICOM) using a distributed file system. Since then, many researches were initiated in order to seek better performance. Our approach for this server represents an additional parallel implementation in I/O operations since HDF version 5 has an essential feature for our work which supports parallel I/O, based upon the MPI paradigm. Early experiments using four parallel nodes, provide good performance when compare to the serial HDF implemented in the CyclopsDCMServer.
Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the ri...
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In this paper we present a memetic algorithm for the reconstruction of binary images represented on a triangular grid. We define the crossover and mutation evolutionary algorithm operators introduced on this grid. We ...
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In this paper we present a memetic algorithm for the reconstruction of binary images represented on a triangular grid. We define the crossover and mutation evolutionary algorithm operators introduced on this grid. We propose a discrete tomography algorithm which uses a switch and compactness operators for the triangular grid to improve the quality of the image in each generation. The algorithm was tested on some images for its effectiveness.
Robustness or fault-tolerance capability of a network is an important design parameter in both wired and wireless networks. Connectivity of a network is traditionally considered to be the primary metric for evaluation...
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Robustness or fault-tolerance capability of a network is an important design parameter in both wired and wireless networks. Connectivity of a network is traditionally considered to be the primary metric for evaluation of its fault-tolerance capability. However, connectivity κ(G) (for random faults) or region-based connectivity κ R (G) (for spatially correlated or region-based faults, where the faults are confined to a region R) of a network G, does not provide any information about the network state, (i.e., whether the network is connected or not) once the number of faults exceeds κ(G) or κ R (G). If the number of faults exceeds κ(G) or κ R (G), one would like to know, (i) the number of connected components into which G decomposes, (ii) the size of the largest connected component, (iii) the size of the smallest connected component. In this paper, we introduce a set of new metrics that computes these values. We focus on one particular metric called region-based component decomposition number (RBCDN), that measures the number of connected components in which the network decomposes once all the nodes of a region fail. We study the computational complexity of finding RBCDN of a network. In addition, we study the problem of least cost design of a network with a target value of RBCDN. We show that the optimal design problem is NP-complete and present an approximation algorithm with a performance bound of O(log K + 4log n), where n denotes the number of nodes in the graph and K denotes a target value of RBCDN. We evaluate the performance of our algorithm by comparing it with the performance of the optimal solution. Experimental results demonstrate that our algorithm produces near optimal solution in a fraction of time needed to find an optimal solution.
Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a co...
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Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions.
Communication network expansion technology using autonomous robot covers three research fields which includes network expansion, network routing, and localization. On this research, we implement an efficient robot for...
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Communication network expansion technology using autonomous robot covers three research fields which includes network expansion, network routing, and localization. On this research, we implement an efficient robot formation and network expansion algorithm on a simulator based on Open Dynamics Engine (ODE) library. We extended the robot formation algorithm to handle multiple sources implementation to keep communication linkage between communication towers. We also developed a network routing algorithm and implement the robot formation algorithm on real autonomous robots hardware. The result of simulation shows that our proposed communication network expansion technology is visible to be implemented. Therefore, we designed an autonomous robot meeting the requirement set in the simulation.
This work proposes a bit-adjacent Data Background (DB) management scheme to improve fault coverage of March algorithms while simultaneously maintaining the shortest test cycle. Both static and dynamic DB transitions a...
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