A framework based on grid for large-scale risk files analysis

  • Authors:

  • Jiarui Niu;Bin Gong;Song Li

  • Affiliations:

  • School of Computer Science and Technology, Shandong University, Jinan, China;School of Computer Science and Technology, Shandong University, Jinan, China;School of Computer Science and Technology, Shandong University, Jinan, China

  • Venue:
  • ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.