摘 要
随着信息技术的迅猛发展，计算机网络在现代社会中扮演着至关重要的角色，但同时也面临着日益严峻的安全威胁。为应对复杂多变的网络攻击手段，本研究聚焦于计算机网络攻击与防御技术，旨在构建更加完善的安全防护体系。通过对当前主流攻击方式如DDoS攻击、恶意软件传播等进行深入剖析，结合实际案例探讨其特点及演变趋势，并提出针对性防御策略。研究采用理论分析与实验验证相结合的方法，基于机器学习算法构建入侵检测模型，实现了对未知攻击的有效识别，准确率达到95%以上。同时，引入区块链技术优化身份认证机制，增强系统抗抵赖性和数据完整性。此外，针对传统防火墙功能局限性，设计了一种智能动态防御系统，可根据网络流量实时调整安全策略。研究结果表明，所提出的综合防御方案能够显著提升网络安全防护能力，在降低误报率方面具有明显优势。该研究不仅丰富了网络攻防理论体系，还为实际应用提供了有效技术支持，特别是在关键信息基础设施保护领域展现出重要价值。
关键词：计算机网络攻击与防御 入侵检测模型 区块链身份认证
Abstract
With the rapid development of information technology, computer networks play a crucial role in modern society but are also confronted with increasingly severe security threats. This study focuses on computer network attack and defense technologies to establish a more comprehensive security protection system. By conducting an in-depth analysis of prevailing attack methods such as DDoS attacks and malware propagation, along with case studies, this research explores their characteristics and evolution trends, and proposes targeted defense strategies. The study employs a combination of theoretical analysis and experimental validation, utilizing machine learning algorithms to construct an intrusion detection model that achieves effective identification of unknown attacks with an accuracy rate exceeding 95%. Additionally, blockchain technology is introduced to optimize authentication mechanisms, thereby enhancing the system's non-repudiation and data integrity. Furthermore, addressing the limitations of traditional firewalls, an intelligent dynamic defense system is designed to adjust security policies in real-time based on network traffic. The results indicate that the proposed integrated defense solution significantly improves network security protection capabilities and demonstrates a clear advantage in reducing false positive rates. This research not only enriches the theoretical fr amework of network attack and defense but also provides effective technical support for practical applications, particularly in the protection of critical information infrastructure.
Keyword:Computer Network Attack And Defense Intrusion Detection Model Blockchain Identity Authentication
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2网络攻击技术剖析 2
2.1常见网络攻击类型 2
2.2攻击原理与实现机制 3
2.3典型案例分析 3
3网络防御体系构建 4
3.1防御策略与模型 4
3.2关键防御技术 5
3.3防御体系评估 5
4攻防对抗技术发展 6
4.1对抗性攻防特点 6
4.2新兴攻防技术 6
4.3未来发展趋势 7
结论 7
参考文献 9
致谢 10
随着信息技术的迅猛发展，计算机网络在现代社会中扮演着至关重要的角色，但同时也面临着日益严峻的安全威胁。为应对复杂多变的网络攻击手段，本研究聚焦于计算机网络攻击与防御技术，旨在构建更加完善的安全防护体系。通过对当前主流攻击方式如DDoS攻击、恶意软件传播等进行深入剖析，结合实际案例探讨其特点及演变趋势，并提出针对性防御策略。研究采用理论分析与实验验证相结合的方法，基于机器学习算法构建入侵检测模型，实现了对未知攻击的有效识别，准确率达到95%以上。同时，引入区块链技术优化身份认证机制，增强系统抗抵赖性和数据完整性。此外，针对传统防火墙功能局限性，设计了一种智能动态防御系统，可根据网络流量实时调整安全策略。研究结果表明，所提出的综合防御方案能够显著提升网络安全防护能力，在降低误报率方面具有明显优势。该研究不仅丰富了网络攻防理论体系，还为实际应用提供了有效技术支持，特别是在关键信息基础设施保护领域展现出重要价值。
关键词：计算机网络攻击与防御 入侵检测模型 区块链身份认证
Abstract
With the rapid development of information technology, computer networks play a crucial role in modern society but are also confronted with increasingly severe security threats. This study focuses on computer network attack and defense technologies to establish a more comprehensive security protection system. By conducting an in-depth analysis of prevailing attack methods such as DDoS attacks and malware propagation, along with case studies, this research explores their characteristics and evolution trends, and proposes targeted defense strategies. The study employs a combination of theoretical analysis and experimental validation, utilizing machine learning algorithms to construct an intrusion detection model that achieves effective identification of unknown attacks with an accuracy rate exceeding 95%. Additionally, blockchain technology is introduced to optimize authentication mechanisms, thereby enhancing the system's non-repudiation and data integrity. Furthermore, addressing the limitations of traditional firewalls, an intelligent dynamic defense system is designed to adjust security policies in real-time based on network traffic. The results indicate that the proposed integrated defense solution significantly improves network security protection capabilities and demonstrates a clear advantage in reducing false positive rates. This research not only enriches the theoretical fr amework of network attack and defense but also provides effective technical support for practical applications, particularly in the protection of critical information infrastructure.
Keyword:Computer Network Attack And Defense Intrusion Detection Model Blockchain Identity Authentication
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与技术路线 2
2网络攻击技术剖析 2
2.1常见网络攻击类型 2
2.2攻击原理与实现机制 3
2.3典型案例分析 3
3网络防御体系构建 4
3.1防御策略与模型 4
3.2关键防御技术 5
3.3防御体系评估 5
4攻防对抗技术发展 6
4.1对抗性攻防特点 6
4.2新兴攻防技术 6
4.3未来发展趋势 7
结论 7
参考文献 9
致谢 10
