首页> 外文期刊>Journal of Information Warfare >Using Honeynets for Discovering and Disrupting IRC-Based Botnets
【24h】

Using Honeynets for Discovering and Disrupting IRC-Based Botnets

机译:使用蜜虫来发现和破坏基于IRC的僵尸网络

获取原文
获取原文并翻译 | 示例
       

摘要

A botnet is a network of compromised computers that can be remotely controlled by an attacker through a predefined communication channel A computer becomes part of a botnet when it gets infected by a software agent commonly known as a 'bot'. Studies carried out by various research groups show the presence of hundreds of thousands of such compromised computers across the Internet. The sheer presence of such a large number of bots poses a serious threat to e-business infrastructures in particular and the Internet community at large. There have already been a number of well-documented incidents where such an army of bots has been used to launch Distributed Denial of Service (DDoS) attacks against corporate networks. Research carried out by various bot activity-monitoring groups also indicates that in recent months there has been a shift towards using these bots and botnets for monetary gains and espionage activities. The threat posed by bots and botnets is real and serious. As such, telecom operators and Internet Service Providers (ISP) across the globe are looking at ways and means to clean up their network and place detective and preventive mechanisms to counter the threat. This paper examines of a way of using honeynet as a tool for gathering information about botnets. A technique on how to use such information to disrupt the normal functioning of the identified botnets is then explored.
机译:僵尸网络是一种受到妥协计算机的网络,可以通过攻击者通过预定义通信信道远程控制计算机成为僵尸网络的一部分,当它被通常称为“BOT”的软件代理被感染时。各种研究小组进行的研究显示跨互联网数十万所妥协的计算机。这么大量机器人的纯粹存在对特别是对电子商务基础设施的严重威胁,并且互联网社区大。已经有许多记录的事件,这些事件已被用于推出对公司网络的分布式拒绝服务(DDOS)攻击。各种机器人活动监测组进行的研究还表明,最近几个月来说,在利用这些机器人和僵尸网络供货货上涨和间谍活动的转变。机器人和僵尸网络构成的威胁是真实的和认真的。因此,全球电信运营商和互联网服务提供商(ISP)正在寻找清理其网络的方式和手段,并将侦探和预防机制放在抗议威胁中。本文审查了使用HoneyNet作为收集有关僵尸网络信息的工具的方式。然后探讨如何使用此类信息来破坏所识别的BOTNET的正常运行的技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号