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作 者:万宇轩 WAN Yuxuan(Beijing University of Technology,Beijing 100085,China)
机构地区:[1]北京工业大学,北京100085
出 处:《计算机应用文摘》2024年第4期60-62,65,共4页Chinese Journal of Computer Application
摘 要:随着互联网和数字化技术的日益普及,网络安全威胁随之增加,人们对高级安全防御手段的需求不断上升。通过结合先进的机器学习和深度学习算法,基于人工智能的网络安全防御系统能够提供实时、自动化的威胁检测和响应,不仅能检测已知的威胁模式,还能通过学习以识别新型、未知的攻击手法。基于计算机网络安全需求,文章设计了一个计算机网络安全防护系统。该系统应用人工智能分析引擎,并结合硬件设计和软件设计的优化,实现了多层次的安全防护措施。经测试,该系统在数据捕获率、还原率、数据加密与保护方面具有较高的能力,可为计算机网络的安全防护提供一种有效的解决方案。With the increasing popularity of the Internet and digital technology,network security threats have increased,and people's demand for advanced security defense measures is constantly increasing.By combining advanced machine learning and deep learning algorithms,an artificial intelligence based network security defense system can provide real-time and automated threat detection and response.It can not only detect known threat patterns,but also identify new and unknown attack techniques through learning.Based on the requirements of computer network security,this article designs a computer network security protection system.The system applies an artificial intelligence analysis engine and combines hardware and software design optimization to achieve multi-level security protection measures.After testing,the system has high capabilities in data capture rate,restoration rate,data encryption and protection,and can provide an effective solution for the security protection of computer networks.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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