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为中小企业开发软件的AI驱动的生成性网络安全框架:ANN-ISM方法
Mujtaba Awan1, Abu Alam1, Rafiq Ahmad Khan2
1School of Computing and Engineering, University of Gloucestershire, Cheltenham, UK.
Scientific reports
|February 7, 2026
概括
本研究介绍了一种人工智能生成模型,以促进软件开发中小型和中型企业 (SMEs) 的网络安全. 该模型增强了威胁检测和响应,为中小企业在线安全提供了可扩展的解决方案.
科学领域:
- 网络安全 网络安全
- 人工智能的人工智能
- 软件工程 软件工程 软件工程
背景情况:
- 中小企业 (SMEs) 面临着独特的网络安全挑战.
- 有效的网络安全实践对于软件开发中的中小企业至关重要.
- 生成型人工智能为增强中小企业网络安全提供了潜在的解决方案.
研究的目的:
- 介绍基于人工智能的生成模型,用于解决中小企业软件开发中的网络安全威胁.
- 利用生成性人工智能改善中小企业的威胁检测,预防和应对.
- 评估该模型在加强中小企业在线安全方面的有效性.
主要方法:
- 多学科文献评论 (MLR) 和实证调查以确定威胁和AI实践.
- 基于历史数据的威胁预测的人工神经网络 (ANN).
- 解释性结构模型 (ISM) 可视化威胁减轻关系和风险管理.
主要成果:
- 拟议的人工智能模型显著提高了中小企业在线安全.
- 该模型能够快速采用基于人工智能的威胁检测和响应实践.
- 网络鱼和勒索软件被评为"高级"威胁,而人工智能引导的逃避和零日攻击仍处于早期发展阶段.
结论:
- 生成性人工智能是一种可行和可扩展的方法,可以加强中小企业的网络安全.
- 基于人工智能的实践可以系统地保护中小企业免受各种网络威胁.
- 未来的研究应该在资源有限的环境中解决先进的威胁策略和实施挑战.
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