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

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…
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Taxonomy
TopicsSecurity in Wireless Sensor Networks · IoT and Edge/Fog Computing · User Authentication and Security Systems
