## 6 Conclusions  
This study presents a holistic analysis of the integrability of blockchain, edge AI, and quantum-resilient approaches within the context of IoE security. The global proliferation of IoE devices has revealed the inadequacy of traditional security architectures, increasing the need for next-generation, multi-layered security solutions. From this comprehensive review, five key conceptual conclusions have been drawn:  
1. _IoE Security Requires Multi-Layered and Context-Aware Architectures_: Traditional security methods based on centralized structures are not suitable for the distributed nature of IoE. Blockchain-based identity and access control systems such as DID and SSI can play a critical role in addressing this gap. 2. _Edge AI Can Reduce Privacy and Latency Issues in IoE_: Processing data at the edge device, without relying on centralized cloud systems, not only reduces privacy risks but also improves decision-making processes with lower latency. Models like FL enable local machine learning without sharing data with a central server. 3. _Quantum Computing Threatens IoE Security and Existing Infrastructures_, _Requiring New Cryptographic Solutions_: Algorithms like Shor's and Grover's undermine the foundations of classical cryptography. PQC, including lattice-based encryption, hash-based methods, and quantum-safe blockchain protocols, is critical to the future evolution of security. 4. _Security Solutions Vary by Application Context_: Each security layer (blockchain, Edge AI, quantum security) has different advantages and trade-offs in terms of scalability, energy consumption, and computational load. Therefore, hybrid solutions and context-aware strategies must be developed. 5. _Open Research Areas Remain_: * How can threat prediction systems be developed using Quantum AI to optimize IoE security? * How can blockchain-based security protocols become more scalable for IoE environments? * How can energy-efficient, low-computation, privacy-preserving solutions be built for edge devices? Looking forward, research in IoE security must be planned in stages according to the maturity levels of related technologies. In the short term, priorities include developing FL infrastructures, testing the practical deployment of Edge AI systems, and conducting early trials of post-quantum digital signatures. Concurrently, research should focus on energy-efficient and lightweight blockchain consensus mechanisms, as well as identity and access control systems that can be seamlessly integrated into IoE devices. In the medium term, integration of QKD and post-quantum blockchain protocols into IoE systems should be pursued. Moreover, hybrid AI-blockchain solutions and context-aware access control models should be widely adopted to enable interoperable security frameworks. In the long term, the focus is expected to shift towards autonomous, self-healing security systems, fully quantum-resistant protocols, and semantic AI solutions operating in synergy with zero-trust architectures. In this scenario, IoE devices are envisioned not only to protect themselves from threats but also to predict potential risks and autonomously manage their own security, setting the vision for the future of cyber defense. In conclusion, the rapidly expanding IoE universe mandates security strategies that go beyond conventional approaches, requiring multi-layered, context-aware, and future-proofsolutions. Blockchain, Edge AI, and Quantum-Resilient Security solutions will become foundational pillars of the IoE ecosystem, playing a critical role in ensuring data security and system integrity. This study aims to provide a comprehensive framework for IoE security, offering guidance for researchers, industry professionals, and policymakers in terms of both technological evaluation and future research directions. Future studies should not only focus on security but also consider scalability, energy efficiency, and sustainability as integral research priorities. The research conceptualization and the definition of the research scope: O.K.