The rapid development of three-dimensional (3D) acquisition technology based on 3D sensors provides a large volume of data, which are often represented in the form of point clouds. Point cloud representation can preserve the original geometric information along with associated attributes in a 3D space. Therefore, it has been widely adopted in many scene-understanding-related applications such as virtual reality (VR) and autonomous driving. However, the massive amount of point cloud data aggregated from distributed 3D sensors also poses challenges for secure data collection, management, storage, and sharing. Thanks to the characteristics of decentralization and security, Blockchain has great potential to improve point cloud services and enhance security and privacy preservation. Inspired by the rationales behind the software-defined network (SDN) technology, this paper envisions SAUSA, a Blockchain-based authentication network that is capable of recording, tracking, and auditing the access, usage, and storage of 3D point cloud datasets in their life-cycle in a decentralized manner. SAUSA adopts an SDN-inspired point cloud service architecture, which allows for efficient data processing and delivery to satisfy diverse quality-of-service (QoS) requirements. A Blockchain-based authentication framework is proposed to ensure security and privacy preservation in point cloud data acquisition, storage, and analytics. Leveraging smart contracts for digitizing access control policies and point cloud data on the Blockchain, data owners have full control of their 3D sensors and point clouds. In addition, anyone can verify the authenticity and integrity of point clouds in use without relying on a third party. Moreover, SAUSA integrates a decentralized storage platform to store encrypted point clouds while recording references of raw data on the distributed ledger. Such a hybrid on-chain and off-chain storage strategy not only improves robustness and availability, but also ensures privacy preservation for sensitive information in point cloud applications. A proof-of-concept prototype is implemented and tested on a physical network. The experimental evaluation validates the feasibility and effectiveness of the proposed SAUSA solution.
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Secure Storage and Access for Task-Scheduling Schemes on Consortium Blockchain and Interplanetary File System
Computerized systems and software, which allow optimizing and planning the processes of production, storage, transportation, sale, and distribution of goods, have emerged in the industry. Scheduling systems, in particular, are designed to control and optimize the manufacturing process. This tool can have a significant effect on the productivity of the industry because it reduces the time and cost through well-defined optimization algorithms. Recently, the applicability of blockchain technology has been demonstrated in scheduling systems to add decentralization, traceability, auditability, and verifiability of the immutable information that this technology provides. This is a novel contribution that provides scheduling systems with an additional layer of security. With the latest version of Hyperledger Fabric, the appropriate levels of permission and policies for access to information can be established with significant levels of privacy and security, which prevent malicious actors from trying to cheat or abuse the system. Different alternatives exist to manage all processes associated with the operation of a blockchain network, and among them, providers of blockchain as a service have emerged. Chainstack stands out for its simplicity and scalability features to deploy and operate a blockchain network. Our goal in this work is to create a solution for secure storage of and access to task-scheduling scheme on the consortium blockchain and inter-planetary file system as a proof of concept to demonstrate its potential and usability.
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- Award ID(s):
- 1822137
- NSF-PAR ID:
- 10298761
- Date Published:
- Journal Name:
- The 20th IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
- Page Range / eLocation ID:
- 153 to 159
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/QRS-C51114.2020.00035
