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Presenting DEViSE: Data Exchange for Visualizing Security Events
May/June 2009 (vol. 29 no. 3)
pp. 6-11
ASCII Text
x 
 
Huw Read, Konstantinos Xynos, Andrew Blyth, "Presenting DEViSE: Data Exchange for Visualizing Security Events," IEEE Computer Graphics and Applications, vol. 29, no. 3, pp. 6-11, May/June, 2009.
 
 
BibTex
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@article{ 10.1109/MCG.2009.48,
author = {Huw Read and Konstantinos Xynos and Andrew Blyth},
title = {Presenting DEViSE: Data Exchange for Visualizing Security Events},
journal ={IEEE Computer Graphics and Applications},
volume = {29},
number = {3},
issn = {0272-1716},
year = {2009},
pages = {6-11},
doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2009.48},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Presenting DEViSE: Data Exchange for Visualizing Security Events
IS - 3
SN - 0272-1716
SP6
EP11
EPD - 6-11
A1 - Huw Read,
A1 - Konstantinos Xynos,
A1 - Andrew Blyth,
PY - 2009
KW - Visualization
KW - computer network security
KW - XML
KW - middleware.
VL - 29
JA - IEEE Computer Graphics and Applications
ER -
 
Huw Read, University of Glamorgan
Konstantinos Xynos, University of Glamorgan
Andrew Blyth, University of Glamorgan
The Data Exchange for Visualizing Security Events (DEViSE) is an open-source architecture designed to enable data sharing between security visualization tools. The security visualization market currently lacks interoperability between different applications, which tend to be constrained to certain log formats. DEViSE is a middleware layer that manages these interactions so one visualization tool can transfer security-related information to another application. DEViSE uses XML for all communication purposes. This allows a much greater level of freedom for application integration. To demonstrate DEViSE, the authors have created several security visualization tools that adhere to different visualization paradigms.

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2. W. Wright and P. Clarke, "Visualization Techniques for Intrusion Detection," Proc. Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, 2002; http://handle.dtic.mil/100.2ADA428197.
3. A. Komlodi, J.R. Goodall, and W.G. Lutters, "An Information Visualization Framework for Intrusion Detection," CHI 04 Extended Abstracts on Human Factors in Computing Systems, ACM Press, 2004, p. 1743.
4. A.D. D'Amico et al., "Visual Discovery in Computer Network Defense," IEEE Computer Graphics &Applications, vol. 27, no. 5, 2007, pp. 20–27.

Index Terms:
Visualization, computer network security, XML, middleware.
Citation:
Huw Read, Konstantinos Xynos, Andrew Blyth, "Presenting DEViSE: Data Exchange for Visualizing Security Events," IEEE Computer Graphics and Applications, vol. 29, no. 3, pp. 6-11, May/June 2009, doi:10.1109/MCG.2009.48
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