Multimedia streaming protocols are becoming increasingly popular in Crowdsensing due to their ability to deliver high-quality video content over the internet in real-time. Streaming multimedia content, as in the context of live video streaming, requires high bandwidth and large storage capacity to ensure a sufficient throughput. Crowdsensing can distribute information about shared video contents among multiple users in network, reducing storage capacity and computational and bandwidth requirements. However, Crowdsensing introduces several security constraints that must be taken into account to ensure the confidentiality, integrity, and availability of the data. In the specific case of video streaming, commonly named as visual crowdsensing (VCS) within this context, data is transmitted over wireless networks, making it vulnerable to security breaches and susceptible to eavesdropping and interception by attackers. Multimedias often contains sensitive user data and may be subject to various privacy laws, including data protection laws and laws related to photography and video recording, based on local GDPR (General Data Protection Regulation). For this reason the realization of a secure protocol optimized for a distributed data streaming in real-time becomes increasingly important in crowdsensing and smart-enviroment context. In this article, we will discuss the use of a symmetric AES-CTR encryption based protocol for securing data streaming over a crowd-sensed network.

翻译：多媒体流传输协议因其能够通过互联网实时传输高质量视频内容，在群智感知中日益普及。流式多媒体内容（如实时视频流）需要高带宽和大存储容量以确保足够的吞吐量。群智感知可在网络中多个用户间分发共享视频内容的信息，从而降低存储容量、计算及带宽需求。然而，群智感知引入了若干必须考虑的安全约束，以确保数据的机密性、完整性和可用性。在视频流传输这一特定场景（本文中常称为视觉群智感知）中，数据通过无线网络传输，易受安全漏洞影响，并可能遭到攻击者的窃听与截获。多媒体内容常包含敏感用户数据，且可能受多种隐私法规约束，包括基于本地《通用数据保护条例》的数据保护法及与摄影录像相关的法律。因此，在群智感知与智能环境背景下，实现一种专为分布式实时数据流传输优化的安全协议变得愈发重要。本文将探讨基于对称AES-CTR加密的协议在群智感知网络中保障数据流安全传输的应用。