标题：A framework based on grid for large-scale risk files analysis
作者：Niu, Jiarui ;Gong, Bin ;Li, Song
作者机构：[Niu, Jiarui ;Gong, Bin ;Li, Song ] School of Computer Science and Technology, Shandong University, Jinan, China
会议名称：Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012
会议日期：28 November 2012 through 30 November 2012
来源：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
关键词：grid technology; malicious program; optimization scheduling; risk file
摘要：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. © 2013 Springer-Verlag.