The Scheme of Detecting Encoded Malicious Web Pages Based on Information Entropy

被引：2

作者：

Liang, Shuang ^{[1
]}

Ma, Yong ^{[2
]}

Huang, Yanyu ^{[1
]}

Guo, Jia ^{[1
]}

Jia, Chunfu ^{[1
]}

机构：

[1] Nankai Univ, Coll Comp & Control Engn, Tianjin, Peoples R China

[2] Civil Aviat Univ, Informat Secur Evaluat Ctr, Tianjin, Peoples R China

来源：

2016 10TH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS) | 2016年

关键词：

malicious web pages detection; information entropy; signature-based detection;

D O I：

10.1109/IMIS.2016.82

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Malicious web page is an increasingly important problem that threatens the security of computer systems and users' privacy. The malicious web pages can escape the traditional static signature-based detection through polymorphism and metamorphism technique. In this paper, we propose a scheme based on information entropy theory to detect the encoded malicious web pages. Through the experiment and evaluation, we demonstrate our approach is practicable to detect the encoded malicious web pages and meeting the demand of practical use.

引用

页码：310 / 312

页数：3

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