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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)