HMMs based masquerade detection for network security on with parallel computing

2020 ◽  
Vol 156 ◽  
pp. 168-173
Author(s):  
Jia Liu ◽  
Miyi Duan ◽  
Wenfa Li ◽  
Xinguang Tian
Keyword(s):  
Parallel Computing ◽  
Network Security ◽  
Masquerade Detection

scholarly journals Steganography Training: a Case Study from University of Shumen in Bulgaria

2016 ◽  
Vol 62 (3) ◽  
pp. 315-318
Author(s):  
Stanimir Stanev ◽  
Krzysztof Szczypiorski
Keyword(s):  
Parallel Computing ◽  
Network Security ◽  
Learning Outcomes ◽  
Professional Training ◽  
Continuous Process ◽  
Computing Environment ◽  
Scientific Publications ◽  
Network Steganography

Abstract This paper summarizes the experience and the learning outcomes of students of the “Informatics” specialty at the Episkop Konstantin Preslavsky University of Shumen (Bulgaria) on the problems of computer and network security as a component of their professional training. It is a continuous process starting from the “Computer steganography” course and turning into diploma papers, masters programs, specializations and PhDs in computer and network steganography. The outcome of this training would be bachelors and masters theses, practical activities of experimentation of stego software and steganology in a parallel computing environment, joint scientific publications of lecturers and students.

Introduction to Parallel Computing

2016 ◽  
Author(s):  
Zbigniew J. Czech
Keyword(s):  
Parallel Computing

Parallel Computing in Optimization

1998 ◽  
Vol 49 (7) ◽  
pp. 770-771
Author(s):  
V J Rayward-Smith
Keyword(s):  
Parallel Computing

Authorship Pattern and Collaborative Research in the Field of Network Security

2011 ◽  
Vol 3 (1) ◽  
pp. 52-54 ◽  
Author(s):  
N. Amsaveni N. Amsaveni ◽  
◽  
R. Vasanthi R. Vasanthi
Keyword(s):  
Network Security ◽  
Collaborative Research ◽  
Authorship Pattern

Methods and Technologies of Parallel Computing for Mathematical Modeling of Stress-Strain State of Constructions Taking into Account Ductile Fracture

2014 ◽  
Vol 46 (11) ◽  
pp. 23-35 ◽  
Author(s):  
Elena A. Velikoivanenko ◽  
Alexey S. Milenin ◽  
Alexander V. Popov ◽  
Vladimir A. Sidoruk ◽  
Alexander N. Khimich
Keyword(s):  
Mathematical Modeling ◽  
Parallel Computing ◽  
Ductile Fracture ◽  
Strain State ◽  
Stress Strain ◽  
Stress Strain State

COMMUNICATIONS RECONSTRUCTION FOR A NETWORK SECURITY ANALYSIS

2010 ◽  
Vol 69 (7) ◽  
pp. 629-638
Author(s):  
J. Sisniega-Gonzalez ◽  
E. Aguirre-Anaya ◽  
Mariko Nakano-Miyatake ◽  
Hector Manuel Perez-Meana
Keyword(s):  
Network Security ◽  
Security Analysis

Matlab and Parallel Computing

2012 ◽  
Vol 17 (4) ◽  
pp. 207-216 ◽  
Author(s):  
Magdalena Szymczyk ◽  
Piotr Szymczyk
Keyword(s):  
Image Processing ◽  
Signal Processing ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Control Systems ◽  
High Performance ◽  
Parallel Applications ◽  
Process Simulations ◽  
Key Features ◽  
Financial Process

Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

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