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A Framework Based on Grid for Large-Scale Risk Files Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

Abstract

With the development of the internet, the number of malicious programs rises observably, which has become one of the main threats to national basic network, information system and so on. Besides, the analysis of malicious programs has a sharp contradiction between accuracy and speed, and how to analyze malicious programs quickly and efficiently has become a popular research direction in safety field. This paper proposes an analysis framework that applies grid technology, the core of the framework is to design an optimized system architecture and an efficient scheduling algorithm to be able to quickly scheduling and analyze risk files in parallel to improve the efficiency of risk files analysis greatly. In order to exhibit the framework better, we develop a set of portlets to present analysis framework into the web portal framework.

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References

  1. Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International Journal of High Performance Computing Applications 15(3), 200–222 (2001)

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  2. Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. Globus Project (2002)

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© 2013 Springer-Verlag Berlin Heidelberg

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Niu, J., Gong, B., Li, S. (2013). A Framework Based on Grid for Large-Scale Risk Files Analysis. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-37015-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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