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Proceedings Paper

On detection and visualization techniques for cyber security situation awareness
Author(s): Wei Yu; Shixiao Wei; Dan Shen; Misty Blowers; Erik P. Blasch; Khanh D. Pham; Genshe Chen; Hanlin Zhang; Chao Lu
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Paper Abstract

Networking technologies are exponentially increasing to meet worldwide communication requirements. The rapid growth of network technologies and perversity of communications pose serious security issues. In this paper, we aim to developing an integrated network defense system with situation awareness capabilities to present the useful information for human analysts. In particular, we implement a prototypical system that includes both the distributed passive and active network sensors and traffic visualization features, such as 1D, 2D and 3D based network traffic displays. To effectively detect attacks, we also implement algorithms to transform real-world data of IP addresses into images and study the pattern of attacks and use both the discrete wavelet transform (DWT) based scheme and the statistical based scheme to detect attacks. Through an extensive simulation study, our data validate the effectiveness of our implemented defense system.

Paper Details

Date Published: 21 May 2013
PDF: 9 pages
Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 87390R (21 May 2013); doi: 10.1117/12.2015887
Show Author Affiliations
Wei Yu, Towson Univ. (United States)
Shixiao Wei, Towson Univ. (United States)
Dan Shen, Intelligent Fusion Technology, Inc. (United States)
Misty Blowers, Air Force Research Lab. (United States)
Erik P. Blasch, Air Force Research Lab. (United States)
Khanh D. Pham, Air Force Research Lab. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)
Hanlin Zhang, Towson Univ. (United States)
Chao Lu, Towson Univ. (United States)

Published in SPIE Proceedings Vol. 8739:
Sensors and Systems for Space Applications VI
Khanh D. Pham; Joseph L. Cox; Richard T. Howard; Genshe Chen, Editor(s)

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