人工智能在网络安全威胁预测与攻击检测中的应用 -计算机科学与技术专业

摘要

本研究探讨了人工智能在网络安全中的应用，包括威胁预测和攻击检测。首先概述了研究背景、意义和现状，然后详细介绍了人工智能和网络安全威胁的基本概念、分类及数据隐私保护的重要性。研究重点包括数据隐私的法律要求、消费者信任、用户权益保障以及AI技术的可持续发展。在威胁预测方面，探讨了数据驱动模型如深度学习和机器学习的应用，以及行为分析和模式识别技术在异常检测中的作用。攻击检测部分重点介绍了实时监控、快速响应技术，智能化反欺诈策略，以及流式数据分析和自动化响应系统的构建。此外，还讨论了深度伪造检测和对抗性机器学习在防御中的应用。

关键词：人工智能网络安全威胁攻击检测数据隐私

Abstract

This study explores the application of artificial intelligence in network security, including threat prediction and attack detection. Firstly, the research background, significance and status quo are outlined, and then the basic concept, classification and the importance of data privacy protection of artificial intelligence and network security threats are introduced in detail. Research focuses on legal requirements for data privacy, consumer trust, protection of user rights, and sustainable development of AI technology. In terms of threat prediction, the application of data-driven models such as deep learning and machine learning, as well as the role of behavioral analysis and pattern recognition techniques in anomaly detection are explored. The attack detection section focuses on real-time monitoring, rapid response technology, intelligent anti-fraud strategy, and the construction of streaming data analysis and automated response system. In addition, the application of deep forgery detection and adversarial machine learning in defense is also discussed.

key words:Artificial intelligence Cyber security threats Attack detection Data privacy

摘要 I

Abstract II

第1章绪论 1

1.1 研究背景及意义 1

1.2 国内外研究现状 1

1.3 研究目的 2

第2章相关概念阐述 3

2.1 人工智能的基本概念与类型 3

2.2 网络安全威胁的定义与分类 3

2.3 数据隐私与保护策略在AI应用中的重要性 4

第3章人工智能在威胁预测中的应用 6