摘要
随着信息技术的迅猛发展，软件系统在社会各领域的应用日益广泛，其安全性问题也愈发凸显，成为影响国家安全、经济发展和个人隐私保护的重要因素本研究旨在深入探讨软件安全性分析与漏洞检测技术，通过综合运用静态分析、动态分析及混合分析方法，构建了一套高效、精准的漏洞检测框架该框架结合了控制流图、数据流分析和符号执行等技术手段，能够有效识别潜在的安全漏洞同时，本研究提出了一种基于机器学习的漏洞特征提取算法，显著提升了对未知漏洞的检测能力实验结果表明，所提出的框架和算法在多种实际场景中表现出优异的性能，不仅大幅降低了误报率和漏报率，还实现了对复杂漏洞类型的全面覆盖此外，研究还开发了一款原型工具，为软件开发者提供了直观易用的漏洞检测解决方案总体而言，本研究的创新点在于将传统分析方法与智能化技术相结合，从而弥补了现有技术在效率和准确性方面的不足，为提升软件系统的整体安全性提供了重要的理论支持和技术保障
关键词：软件安全性；漏洞检测；静态分析；动态分析；机器学习
Abstract
With the rapid development of information technology, the application of software systems is becoming increasingly widespread across various fields, and their security issues have become increasingly prominent, significantly impacting national security, economic development, and personal privacy protection. This study aims to comprehensively investigate software security analysis and vulnerability detection techniques by integrating static analysis, dynamic analysis, and hybrid analysis methods to construct an efficient and precise vulnerability detection fr amework. This fr amework incorporates techniques such as control flow graphs, data flow analysis, and symbolic execution, enabling the effective identification of potential security vulnerabilities. Additionally, a machine-learning-based vulnerability feature extraction algorithm is proposed, which substantially enhances the detection capability for unknown vulnerabilities. Experimental results demonstrate that the proposed fr amework and algorithm exhibit superior performance in multiple real-world scenarios, not only drastically reducing false-positive and false-negative rates but also achieving comprehensive coverage of complex vulnerability types. Furthermore, a prototype tool has been developed to provide software developers with an intuitive and user-friendly vulnerability detection solution. Overall, the innovation of this research lies in combining traditional analysis methods with intelligent technologies, thereby addressing the efficiency and accuracy limitations of existing techniques and providing crucial theoretical support and technical assurance for enhancing the overall security of software systems.
Keywords：Software Security; Vulnerability Detection; Static Analysis; Dynamic Analysis; Machine Learning
目 录
摘要 I
Abstract II
一、绪论 1
(一) 软件安全性分析的研究背景与意义 1
(二) 漏洞检测技术的国内外研究现状 1
(三) 本文研究方法与技术路线 2
二、软件安全性分析基础理论 2
(一) 软件安全性的定义与分类 2
(二) 常见软件漏洞类型及其特征 3
(三) 安全性分析的核心技术框架 3
三、静态漏洞检测技术研究 4
(一) 静态分析的基本原理与方法 4
(二) 源代码漏洞检测的关键技术 5
(三) 静态分析工具的性能评估与优化 5
四、动态漏洞检测技术研究 6
(一) 动态分析的技术特点与应用场景 6
(二) 运行时漏洞检测的实现机制 6
(三) 动态分析中的挑战与解决方案 7
结 论 9
参考文献 10
