P2P-Based Super Botnet:Threats and Defenses

YING Ling-yun; FENG Deng-guo; SU Pu-rui

您当前的位置：

首页 >

文章列表页 >

P2P-Based Super Botnet:Threats and Defenses

更新时间：2025-07-16

- P2P-Based Super Botnet:Threats and Defenses
- Acta Electronica Sinica Vol. 37, Issue 1, Pages: 31-37(2009)
- 作者机构：
  
  1. 中国科学院研究生院,信息安全国家重点实验室,北京,100080
  2. 中国科学院软件研究所,信息安全国家重点实验室,北京,100190
  3. 中国科学院研究生院信息安全国家重点实验室北京,100080
  4. 中国科学院软件研究所信息安全国家重点实验室北京,100190
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Published：2009
- 稿件说明：
移动端阅览
YING Ling-yun, FENG Deng-guo, SU Pu-rui. P2P-Based Super Botnet:Threats and Defenses[J]. Acta Electronica Sinica, 2009, 37(1): 31-37.
DOI：

YING Ling-yun, FENG Deng-guo, SU Pu-rui. P2P-Based Super Botnet:Threats and Defenses[J]. Acta Electronica Sinica, 2009, 37(1): 31-37. DOI：

摘要

僵尸网络作为网络犯罪活动的平台

正朝着P2P等分布式结构发展.研究僵尸网络的发展方向以及构建技术

有助于我们全面地了解僵尸网络活动的特点

从而更好地开展僵尸网络的检测和防范研究.本文分析了攻击者的需求

提出了一种基于层次化P2P网络技术的新型僵尸网络结构

并对这种僵尸网络的可行性和具体的传播、通讯、控制等各个方面进行了深入分析和探讨.在此基础上

我们通过模拟实验对各种防御策略的有效性进行了分析和评估

实验数据表明

在考虑实际可操作性条件下

现有的防御策略难以有效摧毁P2P结构僵尸网络.最后

我们讨论了这种新型僵尸网络可能的防御方法.

Abstract

As a cyber crime platform

botnet is one of the biggest network security threats.Researching the evolvement of botnets

as well as possible botnets construction methods

can improve us in-depth understanding of details of botnets

and also guide us in the botnets defense research.In this paper

we proposed a P2P-based super botnet structure

analyzed the feasibility and discussed all aspects of this new type botnet.Secondly

we evaluated effectiveness of various botnets defense strategies

our simulation results show that

when taking the actual operational conditions into account

it is difficult to completely destroy P2P-based botnets.Finally

we discussed some guidelines for defending against such new botnets.

关键词

Keywords

references

Views

2183

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Malware Classification Method Based on MP-FSCIL

An Automatic Malware Homology Identification Method Based on Calling Habits

A Survey of Zero Trust Management for Large-Scale Internet of Things

Malware Classification Method Based on Improved CNN

A Multi-Protocol Botnet Detection Method for IoT

Related Author

WANG Jian

LIU Qiang

WANG Lei

QIAO Yan-chen

YUN Xiao-chun

ZHANG Yong-zheng

LI Shu-hao

XING Fang-yuan

Related Institution

Air Defense and Antimissile School, Air Force Engineering University

Air Traffic Control and Navigation School, Air Force Engineering University

Institute of Computing Technology, Chinese Academy of Sciences

University of Chinese Academy of Sciences

Institute of Information Engineering, Chinese Academy of Sciences

⁰