Dataset for Systematic Review of IAM Advancements: Insights into AI, Blockchain, and Zero Trust Architectures

Advances in Identity and Access Management (IAM): Systematic Insights into AI, Blockchain, and Zero Trust ArchitecturesIn an era of expanding digital infrastructure, cloud computing, and remote work, robust Identity and Access Management (IAM) systems are critical for securing sensitive data and ensuring regulatory compliance. This research paper provides a comprehensive systematic review of recent advancements in IAM technologies, addressing the limitations of traditional centralized systems, such as single points of failure and privacy concerns. Utilizing the PRISMA methodology, the study analyzes five peer-reviewed articles from a pool of 23 retrieved from Scopus, published between 2021 and 2025. Key innovations explored include passwordless authentication, AI-driven adaptive authentication, Zero Trust architectures, decentralized identity (DID), self-sovereign identity (SSI), and privacy-enhancing cryptographic techniques like zero-knowledge proofs. The review highlights their applications in multi-cloud, IoT, and hybrid environments, emphasizing enhanced security, user experience, and interoperability. Challenges such as standardization gaps, implementation costs, and privacy concerns are discussed, alongside future directions, including universal protocols and IoT integration. A publicly accessible dataset (DOI: 10.5281/zenodo.12345678) ensures reproducibility. This work serves as an essential resource for cybersecurity researchers and practitioners seeking to navigate the evolving landscape of IAM technologies.《身份与访问管理（Identity and Access Management，IAM）研究进展：人工智能、区块链与零信任（Zero Trust）架构的系统洞察》 在数字基础设施、云计算与远程办公规模持续扩张的时代，稳健的身份与访问管理系统对于保护敏感数据、保障监管合规性至关重要。本研究对近年来身份与访问管理技术的最新进展开展了全面的系统综述，旨在解决传统集中式系统存在的单点故障、隐私隐患等局限。本研究采用系统综述与元分析首选报告标准（PRISMA）方法论，对Scopus数据库中2021年至2025年发表的23篇检索文献进行筛选，最终纳入5篇同行评议论文展开分析。本综述重点探讨了多项关键技术创新，包括无密码认证、人工智能驱动的自适应认证、零信任架构、去中心化身份（Decentralized Identity，DID）、自主主权身份（Self-Sovereign Identity，SSI）以及零知识证明（zero-knowledge proofs）等隐私增强型密码学技术。本综述重点分析了上述技术在多云、物联网（Internet of Things，IoT）以及混合环境中的应用场景，强调其在提升安全性、优化用户体验与增强互操作性方面的价值。研究同时探讨了标准化缺口、部署成本与隐私隐患等现存挑战，并展望了通用协议、物联网集成等未来发展方向。本研究附带公开可获取的数据集（DOI：10.5281/zenodo.12345678），以确保研究结果可复现。本研究可为网络安全领域的研究人员与从业者提供关键参考，助力其洞悉身份与访问管理技术不断迭代的发展态势。