摘要
随着大数据时代的到来，数据量呈爆炸式增长，分布式数据库成为处理海量数据的重要工具，但其安全访问控制面临严峻挑战。为解决这一问题，本研究提出一种面向大数据的分布式数据库安全访问控制框架，旨在保障数据的安全性、完整性和可用性。该框架基于属性基加密和访问控制策略融合技术，通过引入细粒度访问控制机制，实现对不同用户在多层级数据上的精确权限管理。同时，设计了高效的密钥管理和更新算法，确保系统性能与安全性之间的平衡。实验结果表明，所提出的框架不仅能够有效抵御各种攻击，而且在大规模数据环境下的响应时间较传统方法缩短约30%，显著提升了系统的整体性能。此外，该框架支持动态调整访问策略，适应复杂多变的应用场景，具有良好的可扩展性和灵活性。本研究的主要创新点在于将属性基加密与访问控制策略深度融合，解决了现有方案中权限管理粗放、效率低下等问题，为分布式数据库的安全访问提供了新的思路和技术手段，对推动大数据环境下信息安全领域的发展具有重要意义。
关键词：分布式数据库安全；属性基加密；访问控制策略
Abstract
With the advent of the big data era, the volume of data is growing exponentially, making distributed databases an essential tool for handling massive datasets. However, this rapid growth poses significant challenges to secure access control in distributed database systems. To address these challenges, this study proposes a security access control fr amework for big data distributed databases aimed at ensuring data confidentiality, integrity, and availability. The fr amework integrates attribute-based encryption with access control policy fusion technology, introducing fine-grained access control mechanisms to achieve precise permission management for different users across multi-level data. Additionally, an efficient key management and update algorithm has been designed to balance system performance and security. Experimental results demonstrate that the proposed fr amework not only effectively resists various attacks but also reduces response time by approximately 30% compared to traditional methods in large-scale data environments, significantly enhancing overall system performance. Moreover, the fr amework supports dynamic adjustment of access policies, adapting to complex and changing application scenarios, thereby exhibiting excellent scalability and flexibility. The primary innovation of this research lies in the deep integration of attribute-based encryption with access control policies, addressing issues such as coarse-grained permission management and low efficiency in existing solutions. This provides new approaches and technical means for secure access to distributed databases and holds significant implications for advancing information security in big data environments.
Keywords：Distributed Database Security; Attribute-Based Encryption; Access Control Policy
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) 研究方法与技术路线 2
二、面向大数据的分布式数据库安全需求分析 2
(一) 大数据环境下的安全挑战 2
(二) 分布式数据库的安全需求 3
(三) 安全访问控制的关键要素 4
三、分布式数据库安全访问控制框架设计 4
(一) 框架总体架构设计 4
(二) 访问控制策略制定 5
(三) 安全机制集成方案 6
四、安全访问控制框架的实现与验证 7
(一) 关键技术实现路径 7
(二) 实验环境与测试方法 8
(三) 性能评估与结果分析 8
结 论 10
参考文献 11
随着大数据时代的到来，数据量呈爆炸式增长，分布式数据库成为处理海量数据的重要工具，但其安全访问控制面临严峻挑战。为解决这一问题，本研究提出一种面向大数据的分布式数据库安全访问控制框架，旨在保障数据的安全性、完整性和可用性。该框架基于属性基加密和访问控制策略融合技术，通过引入细粒度访问控制机制，实现对不同用户在多层级数据上的精确权限管理。同时，设计了高效的密钥管理和更新算法，确保系统性能与安全性之间的平衡。实验结果表明，所提出的框架不仅能够有效抵御各种攻击，而且在大规模数据环境下的响应时间较传统方法缩短约30%，显著提升了系统的整体性能。此外，该框架支持动态调整访问策略，适应复杂多变的应用场景，具有良好的可扩展性和灵活性。本研究的主要创新点在于将属性基加密与访问控制策略深度融合，解决了现有方案中权限管理粗放、效率低下等问题，为分布式数据库的安全访问提供了新的思路和技术手段，对推动大数据环境下信息安全领域的发展具有重要意义。
关键词：分布式数据库安全；属性基加密；访问控制策略
Abstract
With the advent of the big data era, the volume of data is growing exponentially, making distributed databases an essential tool for handling massive datasets. However, this rapid growth poses significant challenges to secure access control in distributed database systems. To address these challenges, this study proposes a security access control fr amework for big data distributed databases aimed at ensuring data confidentiality, integrity, and availability. The fr amework integrates attribute-based encryption with access control policy fusion technology, introducing fine-grained access control mechanisms to achieve precise permission management for different users across multi-level data. Additionally, an efficient key management and update algorithm has been designed to balance system performance and security. Experimental results demonstrate that the proposed fr amework not only effectively resists various attacks but also reduces response time by approximately 30% compared to traditional methods in large-scale data environments, significantly enhancing overall system performance. Moreover, the fr amework supports dynamic adjustment of access policies, adapting to complex and changing application scenarios, thereby exhibiting excellent scalability and flexibility. The primary innovation of this research lies in the deep integration of attribute-based encryption with access control policies, addressing issues such as coarse-grained permission management and low efficiency in existing solutions. This provides new approaches and technical means for secure access to distributed databases and holds significant implications for advancing information security in big data environments.
Keywords：Distributed Database Security; Attribute-Based Encryption; Access Control Policy
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) 研究方法与技术路线 2
二、面向大数据的分布式数据库安全需求分析 2
(一) 大数据环境下的安全挑战 2
(二) 分布式数据库的安全需求 3
(三) 安全访问控制的关键要素 4
三、分布式数据库安全访问控制框架设计 4
(一) 框架总体架构设计 4
(二) 访问控制策略制定 5
(三) 安全机制集成方案 6
四、安全访问控制框架的实现与验证 7
(一) 关键技术实现路径 7
(二) 实验环境与测试方法 8
(三) 性能评估与结果分析 8
结 论 10
参考文献 11
