ID 原文 译文
3523 仿真结果表明，所提方案可将 IMD3 抑制 17.7 dB，系统无杂散动态范围提高到 127.8 dB·Hz45。 Simulation results show that the proposed scheme can suppressIMD3 by 17.7 dB and increase the SFDR to 127.8 dB·Hz45.
3524 为解决现有的发布系统容易受到篡改，以及很难向新加入系统的“冷启动”用户推荐服务信息的问题，提出了一种支持冷启动用户推荐的区块链服务发布方案。 In order to solve the problem that the existing publishing systems were vulnerable to tampering, and it was dif-ficult to recommend service information to “cold start” users, a blockchain-based service publishing scheme that sup-ported cold-start user recommendations was proposed.
3525 将单个辅助域的潜在特征映射模型扩展到 2 个辅助域，为目标域中的冷启动用户进行更为精确的推荐。将微服务架构和区块技术相结合，确保系统可扩展性、可靠性和安全性。 The latent feature mapping model of a single auxiliary domainwas extended to two auxiliary domains to make more accurate recommendations for cold start users in the target domain.In addition, the microservice architecture and block technology were combined to ensure system scalability, reliability and security.
3526 在亚马逊交易数据中提取的 3 个真实数据集上的实验结果表明，所提推荐模型优于大多数其他推荐方法，并且服务发布信息可以安全地存储在区块链中以确保其不被更改。 The experimental results of three real data sets extracted from Amazon transaction data show that the pro-posed recommendation model is better than most other recommendation methods, and the service release information canbe safely stored in the blockchain to ensure that it is not changed.
3527 为解决 6G 移动通信系统中雾无线接入网中数据共享的数据安全问题，提出了一种实现本地差分隐私和动态批量审计的内生安全数据共享机制。 In order to solve the data security problem of data sharing in the fog radio access network in the 6G mobilecommunication system, an endogenous secure data sharing mechanism that realized local differential privacy and dy-namic batch auditing was proposed.
3528 首先，用户本地对数据运行 RAPPOR 算法保护数据隐私； First, the user ran the RAPPOR algorithm locally on the data to protect data privacy.
3529 其次，雾接入点对数据进行缓存和预处理； Next, the fog access point cached and preprocessed the data.
3530 再次，大功率节点对雾接入点上的数据进行基于 BLS 签名和 Merkle 哈希树的数据完整性审计； Then the high power node performed a data integrity auditbased on the BLS signature and Merkle hash tree on the data cached on the fog access point.
3531 最后，BBU 池通过统计分析推断出共享数据的原始分布。 Finally, the BBU pool in-fered the original distribution of shared data through statistical analysis.
3532 安全性分析和仿真表明，所提机制实现了用户的本地差分隐私，并支持安全的多客户端批量审计和数据动态操作，同时具有较高的时间、空间和通信效率。 Security analysis and simulation show that the proposed mechanism realizes the local differential privacy of users, supports secure multi-client batch audit and data dy-namic operation, and has high efficiency in time, space and communication.