Paper
21 May 2013 On detection and visualization techniques for cyber security situation awareness
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Yu, Shixiao Wei, Dan Shen, Misty Blowers, Erik P. Blasch, Khanh D. Pham, Genshe Chen, Hanlin Zhang, and Chao Lu "On detection and visualization techniques for cyber security situation awareness", Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 87390R (21 May 2013); https://doi.org/10.1117/12.2015887
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Visualization

Discrete wavelet transforms

Defense systems

Active sensors

Sensors

Detection and tracking algorithms

Databases

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