AI 中文总结
本文针对移动边缘缓存中的恶意节点、自私节点及容量问题，提出基于区块链的信任管理、奖励与认证机制，可准确区分诚实与恶意服务器，优化缓存相关性能。
AI 中文摘要
随着移动网络流量持续增长，在边缘服务器上进行内容缓存对于降低延迟至关重要。然而，存在需解决的挑战：可能删除或操纵缓存内容的恶意边缘服务器，以及这些服务器有限的容量。为克服容量限制，辅助移动节点可贡献其缓存资源，但由于其自私行为，需要激励机制来鼓励资源共享，且这些辅助节点也可能是恶意的。本文提出一种基于区块链的信任管理机制，通过准确识别可信边缘服务器和移动节点来应对这些挑战。该机制使用智能合约计算直接和间接信任，确保有效过滤恶意节点；信任度基于移动节点对服务质量的满意度确定，且信任数据安全存储在区块链上。为打击节点自私行为，引入奖励机制激励缓存共享；此外，基于区块链的认证机制可防止节点冒充。我们的方法在共识过程中考虑移动节点的移动性、能耗和计算能力约束，同时优化信任、缓存容量和成本效率。仿真结果表明，即使数据中存在10%的噪声，该方法也能准确区分诚实服务器和恶意服务器。
英文摘要
As mobile network traffic continues to grow, content caching on edge servers is critical for reducing latency. However, challenges such as malicious edge servers that may delete or manipulate cached content, along with the limited capacity of these servers, need to be addressed. To overcome the capacity limitations, helper mobile nodes can contribute their cache resources. However, due to their selfish behavior, an incentive mechanism is necessary to encourage resource sharing. Additionally, these helper nodes can also be malicious. This paper proposes a blockchain-based trust management mechanism that addresses these challenges by accurately identifying trustworthy edge servers and mobile nodes. The proposed mechanism calculates both direct and indirect trust using smart contracts, ensuring that malicious nodes are effectively filtered out. Trustworthiness is determined based on mobile node satisfaction with the quality of service, and trust data is securely stored on the blockchain. To combat node selfishness, a reward mechanism is introduced to incentivize cache sharing. Furthermore, a blockchain-based authentication mechanism protects against node impersonation. Our approach optimizes trust, cache capacity, and cost efficiency while considering mobile node mobility, energy consumption, and computational power constraints during the consensus process. Simulation results show that the proposed method can accurately distinguish between honest and malicious servers, even with a 10% noise in data.
