An Efficient Blockchain-Based Bidirectional Friends Matching Scheme in Social Networks

Abstract

In social networks, the personal attributes or hobbies of the users are exposed to the server to establish the relationships. Service providers may store these information for commercial purpose or statistical analysis. Furthermore, the server may expose to external attacks, which may disclose users' privacy information. In this paper, we present a hierarchical blockchain-based attribute matching scheme, which realizes privacy-preserving attribute matching under multiple semi-trusted servers. The scheme employs CP-ABE and bloom filter to satisfy the requirements of the users to make friend discovery, and reduces the computation cost of users by outsourcing decryption of CP-ABE. Besides, the hierarchical blockchain only implements the consensus and storage of matching results on the blockchain, while the complex calculations and a large amount of data storage are off-chain, which reduces the consumption of the blockchain and improves the operation efficiency. Finally, we prove the scheme can resist single point failure, collusion attack, internal attack and external attack, the experimental results demonstrate the proposed scheme is feasibility and efficiency.

Blockchain-Empowered Secure and Privacy-Preserving Health Data Sharing in Edge-Based IoMT

“…Meng et al [24] proposed a blockchain-enabled signature matching while achieving data security and privacy preservation. In [25], a matching scheme based on hierarchical blockchain was proposed to protect users' privacy. e scheme combined ciphertext-policy attributebased (CP-ABE) encryption and bloom filter to meet users' requirements to search friends.…”

“…We compare the security properties of our scheme with other matching schemes in Table 3. e comparison results indicate that the proposed scheme is capable of providing a promising solution to improve profile matching service in edge-based IoMT scenarios [25,42,43]. eir scheme does not achieve security properties of blockchain-based and fairness and incentive.…”

“…(20) end if (21) return result. (22) end function (23) function PAYMENT (DR an dD RAccount, payment) returns() (24) compute the DO fee DO Fee and the DR fee DR Fee (25) query the balance of DR's account (26) if DR Balance > DO Fee + DR Fee then (27) transfer fee to DO's account and DR's account (28) return result. (29) else (30) return false.…”

The Application of Blockchain in Social Media: A Systematic Literature Review

“…Proposed Model [45] Model based on security data storage [53] Solution to managing the privacy preferences of a user [55] Autonomous decentralized online social network architecture [59] Blockchain-based data mining methodology [60] A blockchain-based privacy-preserving framework (BPP) [62] An auditable and trustworthy access control structure [65] A hierarchical blockchain-based attribute matching system [68] BCOSN, a blockchain-based Online Social Network [70] A decentralized social networking architecture [71] A blockchain-based model for data storage [76] An autonomous resource request transaction framework [80] Blockchain-enhanced version of social networking (BEV-SNSs) [81] Blockchain-based identity providers [82] A decentralized social network based on Ethereum and IPFS [83] RPchain, a blockchain based academic social networking platform [84] A protocol and authentication with a blockchain algorithm [86] Ushare: a blockchain scheme for social networks Similar to the models proposed for detecting fake content, the models proposed for protecting data use Blockchain-based elements such as smart contracts and consensus algorithms. Dawei Xu et al [45] recommended a novel truthfulness information storing system, CL-BC (Clark-Wilson), which contains a theoretical strategy, initial setting architecture, and comprehensive flux architecture to construct the entree regulator structure of a distributed veracity information storing system and optimize the safety of risks such as over-agreement and illegitimate completion in the storing of information.…”

“…However, a private key connected with the client's Ethereum profile is employed to decode the confidential information when access authorization is confirmed on the blockchain. Feihong Yang et al [65] introduced a friend-matching architecture based on a hierarchical blockchain to guarantee the client's confidentiality. The model uses ciphertext-policy attribute-based (CP-ABE) encryption and bloom screen to help users find friends.…”