Heterogeneous Social Network Location Aware Multi Party Data Protection and Privacy System

J. Ranjithkumar, Dr. Lipsa Nayak
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Abstract

Social networks are large online communities that allow users to interact and share information. They can be used to connect with friends, family, or potential romantic partners, build a business, or even find a job. 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. This project proposes a blockchain based secure photo sharing framework that provides powerful dissemination control for heterogeneous social network photo sharing. In contrast to security mechanisms running separately in centralized servers that do not trust each other, this framework achieves consistent consensus on photo dissemination control through carefully designed smart contract-based protocols
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异构社交网络位置感知多方数据保护和隐私系统
社交网络是大型在线社区,允许用户互动和分享信息。它们可以用来与朋友、家人或潜在的恋爱对象联系,建立业务,甚至寻找工作。社交媒体的发展带动了在在线社交网络平台(SNP)上发布日常照片的潮流。在线照片的隐私通常会受到安全机制的精心保护。然而,当有人将照片传播到其他平台时,这些机制就会失去作用。本项目提出了一种基于区块链的安全照片共享框架,可为异构社交网络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不同,该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共识
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