摘要
随着信息技术的迅猛发展，网络安全威胁日益复杂多变，传统漏洞扫描算法在面对大规模网络环境时存在效率低下、准确性不足等问题。为此，本文提出一种高效的网络安全漏洞扫描算法以提升扫描效率和准确性。该算法基于深度优先搜索策略并引入启发式评估函数优化搜索路径，同时结合多线程技术实现并发扫描，有效减少扫描时间。此外，通过构建漏洞特征库并与待测系统进行模式匹配，提高了漏洞识别的精准度。实验结果表明，在相同测试环境下，与现有主流算法相比，本算法能够显著缩短扫描周期，平均扫描时间降低约40%，且误报率从15%降至8%左右。这不仅提升了漏洞检测效率，还增强了对新型未知漏洞的适应能力。该算法的成功设计与实现为网络安全防护提供了强有力的技术支持，对于保障网络信息系统安全稳定运行具有重要意义，其创新性在于将启发式搜索与多线程技术深度融合应用于漏洞扫描领域，为后续研究奠定了坚实基础。
关键词：网络安全漏洞扫描；深度优先搜索；启发式评估函数
Abstract
With the rapid development of information technology, cybersecurity threats have become increasingly complex and diverse. Traditional vulnerability scanning algorithms face challenges such as low efficiency and insufficient accuracy when applied to large-scale network environments. To address these issues, this paper proposes an efficient cybersecurity vulnerability scanning algorithm aimed at enhancing both scanning efficiency and accuracy. The proposed algorithm employs a depth-first search strategy with a heuristic evaluation function to optimize the search path, while integrating multithreading technology to achieve concurrent scanning, thereby significantly reducing scanning time. Additionally, by constructing a vulnerability feature database and performing pattern matching with the target system, the precision of vulnerability identification is notably improved. Experimental results demonstrate that, under identical testing conditions, compared to existing mainstream algorithms, the proposed algorithm can substantially shorten the scanning cycle, reducing average scanning time by approximately 40%, and decreasing the false positive rate from 15% to around 8%. This not only improves the efficiency of vulnerability detection but also enhances adaptability to new and unknown vulnerabilities. The successful design and implementation of this algorithm provide robust technical support for cybersecurity protection, playing a crucial role in ensuring the secure and stable operation of network information systems. Its innovation lies in the deep integration of heuristic search and multithreading technology in the field of vulnerability scanning, laying a solid foundation for future research.
Keywords：Network Security Vulnerability Scanning; Depth-First Search; Heuristic Evaluation Function
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 本文研究方法 2
二、高效漏洞扫描算法理论基础 2
(一) 网络安全威胁模型分析 2
(二) 漏洞扫描技术综述 3
(三) 算法设计的基本原则 4
三、高效漏洞扫描算法设计 5
(一) 算法框架构建 5
(二) 关键技术选型 5
(三) 数据处理与优化 6
四、高效漏洞扫描算法实现与测试 7
(一) 实验环境搭建 7
(二) 算法性能评估 8
(三) 测试结果分析 8
结 论 10
参考文献 11
随着信息技术的迅猛发展，网络安全威胁日益复杂多变，传统漏洞扫描算法在面对大规模网络环境时存在效率低下、准确性不足等问题。为此，本文提出一种高效的网络安全漏洞扫描算法以提升扫描效率和准确性。该算法基于深度优先搜索策略并引入启发式评估函数优化搜索路径，同时结合多线程技术实现并发扫描，有效减少扫描时间。此外，通过构建漏洞特征库并与待测系统进行模式匹配，提高了漏洞识别的精准度。实验结果表明，在相同测试环境下，与现有主流算法相比，本算法能够显著缩短扫描周期，平均扫描时间降低约40%，且误报率从15%降至8%左右。这不仅提升了漏洞检测效率，还增强了对新型未知漏洞的适应能力。该算法的成功设计与实现为网络安全防护提供了强有力的技术支持，对于保障网络信息系统安全稳定运行具有重要意义，其创新性在于将启发式搜索与多线程技术深度融合应用于漏洞扫描领域，为后续研究奠定了坚实基础。
关键词：网络安全漏洞扫描；深度优先搜索；启发式评估函数
Abstract
With the rapid development of information technology, cybersecurity threats have become increasingly complex and diverse. Traditional vulnerability scanning algorithms face challenges such as low efficiency and insufficient accuracy when applied to large-scale network environments. To address these issues, this paper proposes an efficient cybersecurity vulnerability scanning algorithm aimed at enhancing both scanning efficiency and accuracy. The proposed algorithm employs a depth-first search strategy with a heuristic evaluation function to optimize the search path, while integrating multithreading technology to achieve concurrent scanning, thereby significantly reducing scanning time. Additionally, by constructing a vulnerability feature database and performing pattern matching with the target system, the precision of vulnerability identification is notably improved. Experimental results demonstrate that, under identical testing conditions, compared to existing mainstream algorithms, the proposed algorithm can substantially shorten the scanning cycle, reducing average scanning time by approximately 40%, and decreasing the false positive rate from 15% to around 8%. This not only improves the efficiency of vulnerability detection but also enhances adaptability to new and unknown vulnerabilities. The successful design and implementation of this algorithm provide robust technical support for cybersecurity protection, playing a crucial role in ensuring the secure and stable operation of network information systems. Its innovation lies in the deep integration of heuristic search and multithreading technology in the field of vulnerability scanning, laying a solid foundation for future research.
Keywords：Network Security Vulnerability Scanning; Depth-First Search; Heuristic Evaluation Function
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
(三) 本文研究方法 2
二、高效漏洞扫描算法理论基础 2
(一) 网络安全威胁模型分析 2
(二) 漏洞扫描技术综述 3
(三) 算法设计的基本原则 4
三、高效漏洞扫描算法设计 5
(一) 算法框架构建 5
(二) 关键技术选型 5
(三) 数据处理与优化 6
四、高效漏洞扫描算法实现与测试 7
(一) 实验环境搭建 7
(二) 算法性能评估 8
(三) 测试结果分析 8
结 论 10
参考文献 11
