动态映射机制下大数据信息安全迁移算法研究  

On Secure Big Data Information Migration Algorithm Based on Dynamic Mapping Mechanism

作　　者：王志强 蓝君 WANG Zhiqiang;LAN Lun

机构地区：[1]阜阳幼儿师范高等专科学校健康和管理学院,安徽阜阳236015 [2]南京工业大学计算机科学与技术学院,江苏南京211800

出　　处：《安徽职业技术学院学报》2025年第1期15-20,共6页Journal of Anhui Vocational And Technical College

基　　金：2023年度安徽省质量工程重点项目“基于教育教学信创数字校园底座的数字治理和运管技术研究”(2023jyxm1590)。

摘　　要：针对大数据信息安全迁移中的网络抖动、迁移耗时及信息安全风险,本文设计了基于动态映射机制的迁移算法。该算法利用带宽波动特性,结合实时迁移波动率和存储冗余参数进行综合评估,旨在减缓抖动,提升安全性能,实现数据传输质量的精准评估。通过引入动态映射机制,算法进一步优化了数据交互过程,减缓了存储误差导致的抖动,增强了迁移平稳性。仿真显示,与常用的最大化稳定性联合迁移机制和能量模糊感知迁移方案相比,本研究算法在迁移时间上具有明显优势,且抖动抑制效果更佳。这一成果表明,该算法在实际应用中具有较高价值,能有效解决大数据信息安全迁移的关键难题,提升迁移效率和安全性。Addressing the issues of network jitter, migration duration, and information security risks in the secure migration of big data, this paper proposes a migration algorithm based on a dynamic mapping mechanism. This algorithm leverages the characteristics of bandwidth fluctuations, combined with real-time migration fluctuation rates and storage redundancy parameters for comprehensive evaluation, aiming to mitigate jitter, enhance security performance, and achieve precise assessment of data transmission quality. By introducing the dynamic mapping mechanism, the algorithm further optimizes the data interaction process, reduces jitter caused by storage errors, and enhances the stability of migration.Simulations demonstrate that, compared to the commonly used migration mechanisms such as the joint migration mechanism for maximizing stability and the energy-fuzzy-aware migration scheme, the proposed algorithm exhibits significant advantages in migration time and superior jitter suppression effects. This result indicates that the algorithm holds high practical value,effectively addressing key challenges in the secure migration of big data, and improving migration efficiency and security.

关 键 词：动态映射 安全迁移 网络带宽波动 存储误差 抖动输出 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]