Go-Sharing: A Blockchain-Based Privacy-Preserving Framework for Cross-Social Network Photo Sharing

IF 7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Dependable and Secure Computing Pub Date : 2023-09-01 DOI:10.1109/TDSC.2022.3208934
Ming Zhang, Zhe Sun, Hui Li, Ben Niu, Fenghua Li, Zixu Zhang, Yuhang Xie, Chunhao Zheng
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引用次数: 2

Abstract

The evolution of social media has led to a trend of posting daily photos on online Social Network Platforms (SNPs). The privacy of online photos is often protected carefully by security mechanisms. However, these mechanisms will lose effectiveness when someone spreads the photos to other platforms. In this article, we propose Go-sharing, a blockchain-based privacy-preserving framework that provides powerful dissemination control for cross-SNP photo sharing. In contrast to security mechanisms running separately in centralized servers that do not trust each other, our framework achieves consistent consensus on photo dissemination control through carefully designed smart contract-based protocols. We use these protocols to create platform-free dissemination trees for every image, providing users with complete sharing control and privacy protection. Considering the possible privacy conflicts between owners and subsequent re-posters in cross-SNP sharing, we design a dynamic privacy policy generation algorithm that maximizes the flexibility of re-posters without violating formers’ privacy. Moreover, Go-sharing also provides robust photo ownership identification mechanisms to avoid illegal reprinting. It introduces a random noise black box in a two-stage separable deep learning process to improve robustness against unpredictable manipulations. Through extensive real-world simulations, the results demonstrate the capability and effectiveness of the framework across a number of performance metrics.
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Go-Sharing:一个基于区块链的跨社交网络照片共享隐私保护框架
社交媒体的发展导致了在在线社交网络平台(SNPs)上发布每日照片的趋势。网络照片的隐私通常受到安全机制的严密保护。然而,当有人将这些照片传播到其他平台时,这些机制就会失去效力。在本文中,我们提出了Go-sharing,这是一个基于区块链的隐私保护框架,为跨snp照片共享提供强大的传播控制。与在互不信任的中心化服务器中单独运行的安全机制相比,我们的框架通过精心设计的基于智能合约的协议,在照片传播控制方面达成一致的共识。我们使用这些协议为每张图片创建无平台的传播树,为用户提供完整的共享控制和隐私保护。考虑到在跨snp共享中所有者和后续发布者之间可能存在的隐私冲突,我们设计了一种动态隐私策略生成算法,使发布者的灵活性最大化,同时不侵犯发布者的隐私。此外,Go-sharing还提供了强大的照片所有权识别机制,以避免非法转载。它在两阶段可分离深度学习过程中引入随机噪声黑盒,以提高对不可预测操作的鲁棒性。通过广泛的真实世界模拟,结果证明了该框架在许多性能指标上的能力和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing 工程技术-计算机:软件工程
CiteScore
11.20
自引率
5.50%
发文量
354
审稿时长
9 months
期刊介绍: The "IEEE Transactions on Dependable and Secure Computing (TDSC)" is a prestigious journal that publishes high-quality, peer-reviewed research in the field of computer science, specifically targeting the development of dependable and secure computing systems and networks. This journal is dedicated to exploring the fundamental principles, methodologies, and mechanisms that enable the design, modeling, and evaluation of systems that meet the required levels of reliability, security, and performance. The scope of TDSC includes research on measurement, modeling, and simulation techniques that contribute to the understanding and improvement of system performance under various constraints. It also covers the foundations necessary for the joint evaluation, verification, and design of systems that balance performance, security, and dependability. By publishing archival research results, TDSC aims to provide a valuable resource for researchers, engineers, and practitioners working in the areas of cybersecurity, fault tolerance, and system reliability. The journal's focus on cutting-edge research ensures that it remains at the forefront of advancements in the field, promoting the development of technologies that are critical for the functioning of modern, complex systems.
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