通过规范性恶意软件分析,检测和响应来增强中小型组织的网络弹性
Lucian Florin Ilca1, Ogruţan Petre Lucian1, Titus Constantin Balan1
1Faculty of Electrical Engineering and Computer Science, "Transilvania" University of Brasov, 500036 Brasov, Romania.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究介绍了一种开源解决方案,用于中小型组织 (中小企业) 增强网络弹性. 该系统使用先进的恶意软件分析和异常检测来有效识别和应对新出现的网络威胁.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 信息技术 信息技术 信息技术
背景情况:
- 小型和中型组织 (SMEs) 面临着重大的网络安全挑战.
- 现有的解决方案可能无法充分应对中小企业不断变化的威胁环境.
- 对于中小企业来说,需要实用,可扩展和具有成本效益的网络弹性战略.
研究的目的:
- 调查并提出一种方法来提高中小企业的网络弹性.
- 使用开源工具开发一个全面的解决方案来检测和应对新出现的网络威胁.
- 证明拟议方法在提高中小企业网络防御能力方面的有效性.
主要方法:
- 为中小企业 (最多250名员工) 开发利用开源解决方案的系统.
- 实施规范性恶意软件分析,检测和响应技术.
- 利用高效的算法用于异常检测,安全和安全,包括机器学习和基于行为的分析.
- 实时威胁情报源的整合.
主要成果:
- 在增强中小企业的网络防御能力和网络弹性方面表现出有效性.
- 成功识别新的和新出现的威胁,通常被传统的安全措施所遗漏.
- 通过先进的分析和异常检测,恶意软件检测率显著提高.
- 使用真实世界数据集和场景的验证证实了该系统的有效性.
结论:
- 开源资源为解决中小企业网络安全挑战提供了一种实用且可扩展的方法.
- 拟议的系统,利用容器化应用程序,可以很容易地为中小企业部署.
- 该方法极大地提高了中小企业检测和应对复杂网络威胁的能力.
- 该研究强调了先进,可访问的技术在改善组织安全态度方面的潜力.
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