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基于空间向量计算的恶意文档检测技术

  • 李伟 ,
  • 苏璞睿 ,
  • 时云峰
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  • 1. 中国科学院研究生院,北京 100049;;
    2. 中国科学院软件研究所,北京 100190;
    3. 清华大学计算机系,北京 100084

收稿日期: 2009-08-04

  修回日期: 2009-12-01

  网络出版日期: 2010-03-15

A technique for detecting malicious documents based on calculation of vector spaces

  • LI Wei ,
  • SU Pu-Rui ,
  • SHI Yun-Feng
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  • 1. Graduate University of the Chinese Academy of Sciences,Beijing 100049,China;
    2. Institute of Software, Chinese Academy of Sciences,Beijing 100190,China;
    3. Department of Computer Science and Technology, Tsinghua University,Beijing 100084,China

Received date: 2009-08-04

  Revised date: 2009-12-01

  Online published: 2010-03-15

摘要

通过对恶意文档的攻击方式、组成结构和攻击代码的全面分析,提出了一种基于空间向量计算的检测方法,针对典型的变形手段提出了有针对性的改进.对119个文档进行了检测,结果表明,与传统检测软件相比,该算法对恶意文档检测在漏报率和误报率上均具备一定优势.

本文引用格式

李伟 , 苏璞睿 , 时云峰 . 基于空间向量计算的恶意文档检测技术[J]. 中国科学院大学学报, 2010 , 27(2) : 267 -274 . DOI: 10.7523/j.issn.2095-6134.2010.2.019

Abstract

Through a comprehensive analysis of the attack way, composition structure, and attack code of malicious documents, we present a detecting method based on the mathematical statistics and vector computation, and make targeted improvements for a typical deformation means. We tested 119 documents using this algorithm, and the results show that, compared with conventional detection software, this algorithm detects a malicious document with low fail-to-report rate and low false alarm rate.

参考文献


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