在分布式环境中,一种自适应分布式拒绝服务攻击预防技术
Basheer Riskhan1, Halawati Abd Jalil Safuan1, Khalid Hussain1
1School of Computing and Informatics, Albukhary International University, Alor Setar 05200, Keddah, Malaysia.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种自适应式启发式方法,SFaDMT,用于检测和减轻分布式系统中复杂的分布式拒绝服务 (DDoS) SYN洪水攻击. 拟议的技术显著提高了对这些普遍的网络威胁的检测准确度.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 网络安全 网络安全
背景情况:
- 分布式拒绝服务 (DoS) 和DDoS攻击是复杂的威胁,在分散的环境中导致资源不可用.
- SYN洪水攻击占DDoS攻击的重要且不断增长的部分,需要有效的缓解策略.
- 现有的缓解方法,如交通塑造和推回,被采用,但先进的检测仍然至关重要.
研究的目的:
- 提出一种有效的策略来识别和抵抗分布式拒绝服务 (DDoS) SYN洪水攻击.
- 开发一种基于适应式启发式的方法,用于更好地检测SYN洪水攻击.
- 为减轻这些网络威胁提供决策支持机制.
主要方法:
- 该研究介绍了SYN洪水攻击检测和缓解技术 (SFaDMT),一种基于适应式启发式的方法.
- SFaDMT使用决策支持机制来识别和抵抗SYN洪水攻击.
- 拟议的模型是使用OMNET模拟器进行性能评估的模拟和分析.
主要成果:
- 通过SFaDMT方法,DDoS SYN洪水攻击的检测率得到了提高.
- 模拟和分析证实了拟议的基于启发式方法的有效性.
- 与最新的现有方法相比,SFaDMT技术显示出更高的性能.
结论:
- 开发的SFaDMT技术为检测和减轻DDoS SYN洪水攻击提供了有效的解决方案.
- 基于自适应式启发式的方法为加强网络安全对抗复杂的网络威胁提供了有希望的方向.
- 该研究强调了分布式计算环境中先进检测机制的重要性.
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