灵感来自于自然的群体优化范式,用于保护语义网络框架免受DDoS攻击:一种计算方法.
Chirag Ganguli1,2, Shishir Kumar Shandilya2, Ivan Izonin3,4
1VIT Bhopal University, Bhopal, India.
Scientific reports
|November 7, 2025
概括
本研究介绍了一种以自然为灵感的网络安全方法,使用群集优化来增强语义网络的弹性. 这种方法改善了威胁的检测和缓解,保护链接的数据和本体学免受网络攻击.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 语义网络促进了数据集成,但也面临着越来越多的网络安全挑战.
- 传统的安全方法对于复杂的,相互连接的语义网络结构是不够的.
- 确保链接数据,本体学和网络架构的安全性至关重要.
研究的目的:
- 为语义网络提出一种新的网络安全方法.
- 增强语义网络对不断变化的网络威胁的弹性.
- 为适应性防御机制利用自然启发的算法.
主要方法:
- 利用群体优化算法,灵感来自昆虫的行为.
- 实施了分布式和自适应的防御机制.
- 应用了实时检测和减轻威胁的方法.
主要成果:
- 对各种攻击场景的网络稳定性有显著的改善.
- 展示了对本体学和数据关系的有效保护.
- 验证了动态适应新网络威胁的能力.
结论:
- 灵感来自自然的群体优化为语义网络安全提供了强大的解决方案.
- 拟议的战略允许在分布式系统中进行安全可靠的信息交换.
- 适应性防御机制是应对动态网络威胁的关键.
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