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作者:

Lai, Y. (Lai, Y..) | Liu, Z. (Liu, Z..)

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Scopus

摘要:

It is very difficult to improve Bayesian classifier detection accuracy because selected features are not completely independent In this paper, unknown malicious code detection based on encoding is proposed according Minimum Description Length (MDL) principle. We use encoding module instead of the conditional independence assumption and statistical classification method. The experiment results show our method is efficient. ©2012 International Information Institute.

关键词:

Bayesian algorithm; Detection; Lzw compression algorithm; Malicious codes

作者机构:

  • [ 1 ] [Lai, Y.]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Liu, Z.]Science and Technology Engineering Faculty, Beijing Vocational College of Electronic Science, Beijing 100029, China

通讯作者信息:

  • [Lai, Y.]College of Computer Science, Beijing University of Technology, Beijing 100124, China

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Information

ISSN: 1343-4500

年份: 2012

期: 11 A

卷: 15

页码: 4563-4571

语种: 英文

JCR分区:4

中科院分区:4

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WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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