journal article·2025Open access

P2V-Fabric: Privacy-Preserving Video Using Hyperledger Fabric

Muhammad Saad, Ki-Woong Park

Computers, Materials & Continua· Volume 83· Issue 2

Abstract

The proliferation of Internet of Things (IoT) devices introduces substantial security challenges. Currently, privacy constitutes a significant concern for individuals. While maintaining privacy within these systems is an essential characteristic, it often necessitates certain compromises, such as complexity and scalability, thereby complicating management efforts. The principal challenge lies in ensuring confidentiality while simultaneously preserving individuals’ anonymity within the system. To address this, we present our proposed architecture for managing IoT devices using blockchain technology. Our proposed architecture works on and off blockchain and is integrated with dashcams and closed-circuit television (CCTV) security cameras. In this work, the videos recorded by the dashcams and CCTV security cameras are hashed through the InterPlanetary File System (IPFS) and this hash is stored in the blockchain. When the accessors want to access the video, they must pass through multiple authentications which include web token authentication and verifiable credentials, to mitigate the risk of malicious users. Our contributions include the proposition of the framework, which works on the single key for every new video, and a novel chaincode algorithm that incorporates verifiable credentials. Analyses are made to show the system’s throughput and latency through stress testing. Significant advantages of the proposed architecture are shown by comparing them to existing schemes. The proposed architecture features a robust design that significantly enhances the security of blockchain-enabled Internet of Things (IoT) devices while effectively mitigating the risk of a single point of failure, which provides a reliable solution for security concerns in the IoT landscape. Our future endeavors will focus on scaling the system by integrating innovative methods to enhance security measures further.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Internet Traffic Analysis and Secure E-voting · Advanced Steganography and Watermarking Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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