Implementing an Optimized and Secured Multimedia Streaming Protocol in a Participatory Sensing Scenario

TL;DR

This paper proposes an optimized, secure multimedia streaming protocol using AES-CTR encryption tailored for crowdsensing scenarios, addressing bandwidth, storage, and security challenges in real-time video delivery.

Contribution

Introduction of a symmetric AES-CTR encryption-based protocol specifically designed for secure, efficient multimedia streaming in crowdsensing environments.

Findings

Enhanced security against eavesdropping and interception.

Reduced bandwidth and storage requirements.

Improved data confidentiality and integrity.

Abstract

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.