Obfuscated Malicious JavaScript Detection using Machine Learning with Character Frequency

Bibliographic Information

Other Title
  • 文字出現頻度をパラメータとした機械学習による悪質な難読化JavaScriptの検出

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Abstract

Today the number of Drive-by-Download attacks using JavaScript has increased. Therefore we need an efficient method to detect malicious JavaScript. In this paper, we focus our attention on a bias of character frequency of obfuscated malicious JavaScript. We will propose the use of machine learning with character frequency to detect obfuscated malicious JavaScript. This paper will also evaluate the proposed method by using various JavaScript in benign web sites and D3M pcap of MWS dataset.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2014 (21), 1-7, 2014-02-27

    Information Processing Society of Japan (IPSJ)

Keywords

Details 詳細情報について

  • CRID
    1571980077767295872
  • NII Article ID
    110009676287
  • NII Book ID
    AA11235941
  • ISSN
    09196072
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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