用于缓解分布式拒绝服务攻击的分布式检测和响应

D. Grant
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引用次数: 0

摘要

分布式拒绝服务(DDoS)攻击的规模和影响不断升级,尽管人们努力控制和限制暴露,使其能够成功。该方案通过在协作系统中结合现有的信息安全技术,提出了一种解决DDoS问题的新方法。用于收集攻击方法证据和提供逆向工程恶意软件的设备是“蜜罐”。这些设备为研究人员提供了至关重要的分析信息,并最终允许开发检测和响应恶意攻击的机制。入侵防御系统(IPS)可以采取措施提醒管理员注意潜在的计算资产滥用,并在许多情况下对恶意活动执行预先确定的响应。这项工作测试了分布式蜜罐和IPS设备之间的操作通信,以接近机器速度检测并积极响应拒绝服务攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed detection and response for the mitigation of distributed denial of service attacks
Distributed Denial of Service (DDoS) attacks continue to escalate in size and impact despite efforts to control and limit exposures that enable them to be successful. This proposal takes a novel approach to the DDoS problem, by combining separate existing information security technologies in a collaborative system. Devices used to gather evidence on attack methods and provide for reverse engineering malware are ‘honeypots’. These devices provide researchers with critically important information for analysis and eventually allow for development of detection and response mechanisms to malicious attacks. Intrusion prevention systems (IPS) can take action to alert administrators to potential misuse of computing assets, and in many cases execute predetermined response to malicious activity. This work tests operational communication between distributed honeypots and IPS devices to detect and actively respond to denial of service attacks at near machine speed.
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