User-habit based early warning of worm

WANG Ping; FANG Bin-xing; YUN Xiao-chun; PENG Da-wei

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User-habit based early warning of worm

更新时间：2024-10-14

- User-habit based early warning of worm
- Issue 2, Pages: 56-65(2006)
- 作者机构：
  
  1. 哈尔滨工业大学计算机科学与技术系
  2. 哈尔滨工业大学计算机科学与技术系,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP309.5
- Published：2006
- 稿件说明：
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WANG Ping, FANG Bin-xing, YUN Xiao-chun, et al. User-habit based early warning of worm[J]. 2006, (2): 56-65.
DOI：

WANG Ping, FANG Bin-xing, YUN Xiao-chun, et al. User-habit based early warning of worm[J]. 2006, (2): 56-65. DOI：

摘要

在蠕虫传播时

由于扫描会产生大量的陌生访问

从而破坏用户的习惯。因而

对用户的习惯进行统计分类

在蠕虫发作时则能及时有效的发现蠕虫。对用户的行为进行了分析

提出了一种对蠕虫进行早期发现的新方法

并且实现了一个基于用户习惯的蠕虫早期发现系统。实验证明该方法能够有效快速的发现蠕虫的传播。由于用户的习惯多种多样

可以衍生出很多应用模型

因此具有很强的指导意义。

Abstract

On the burst-out of massive worm

the overwhelming flow caused by random scanning would temporarily alter the behavior representation of users.Therefore

it was consequently reasonable to conclude that statistics and classify the user habit would certainly help in the detection of worm efficiently.The behavior of user was analyzed deeply

a new approach for early warning of worms was proposed

and a user-based early warning system was realized.Because of the diversity of user habit

several application models can be derived from the model

it has strong direction signification.

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