Internet of Multimedia Things (IoMT) applications generate huge volumes of multimedia data that are uploaded to cloud servers for storage and processing. During the uploading process, the IoMT applications face three major challenges, i.e., node management, privacy-preserving, and network protection. In this article, we propose a multilayer framework (PAAL) based on a multilevel edge computing architecture to manage end and edge devices, preserve the privacy of end-devices and data, and protect the underlying network from external attacks. The proposed framework has three layers. In the first layer, the underlying network is partitioned into multiple clusters to manage end-devices and level-one edge devices (LOEDs). In the second layer, the LOEDs apply an efficient aggregation technique to reduce the volumes of generated data and preserve the privacy of end-devices. The privacy of sensitive information in aggregated data is protected through a local differential privacy-based technique. In the last layer, the mobile sinks are registered with a level-two edge device via a handshaking mechanism to protect the underlying network from external threats. Experimental results show that the proposed framework performs better as compared to existing frameworks in terms of managing the nodes, preserving the privacy of end-devices and sensitive information, and protecting the underlying network.

中文翻译：

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PAAL：基于身份验证、聚合和本地差分隐私的多媒体物联网框架


多媒体物联网 (IoMT) 应用程序会生成大量多媒体数据，这些数据会上传到云服务器进行存储和处理。在上传过程中，物联网应用面临节点管理、隐私保护和网络保护三大挑战。在本文中，我们提出了一种基于多级边缘计算架构的多层框架（PAAL），用于管理终端和边缘设备，保护终端设备和数据的隐私，并保护底层网络免受外部攻击。所提出的框架分为三层。在第一层，底层网络被划分为多个集群来管理终端设备和一级边缘设备（LOED）。在第二层中，LOED 应用有效的聚合技术来减少生成的数据量并保护终端设备的隐私。聚合数据中敏感信息的隐私通过基于本地差分隐私的技术进行保护。在最后一层，移动接收器通过握手机制向二级边缘设备注册，以保护底层网络免受外部威胁。实验结果表明，与现有框架相比，所提出的框架在管理节点、保护终端设备和敏感信息的隐私以及保护底层网络方面表现更好。