TY - JOUR
T1 - Secure blockchain-based reputation system for IIoT-enabled retail industry with resistance to sybil attack
AU - Zhao, Wenjia
AU - Yang, Xu
AU - Qi, Saiyu
AU - Wei, Junzhe
AU - Dong, Xinpei
AU - Yang, Xu
AU - Qi, Yong
N1 - Publisher Copyright:
© 2024
PY - 2025/5
Y1 - 2025/5
N2 - Leveraging the recent surge in the electronic retail industry, retailer reputation has emerged with increasing significance in shaping consumer purchasing decisions. Despite this, the existing reputation platforms remain largely centralized, thereby enabling retailers to exert total control over reputation services, a reality that compromises the authentic portrayal of retailers. In response, we introduce a secure blockchain-based reputation system, named BlockRep, designed explicitly for the Industrial Internet of Things (IIoT) enabled retail industry. By eliminating dependency on trust inherently foundation in established E-retail platforms, BlockRep effectively resists sybil attack while ensuring review anonymity and authenticity, both critical security requirements of reputation systems. Initially, we champion a hybrid framework designed to enhance user interaction with our system. This approach leverages the centralized E-retail platform to facilitate trade services, whilst unfolding upon a blockchain platform that firmly authenticates the legitimacy of individual reviews. The authentication process is thus anchored to the correctness of cryptographic tokens, which are subsequently deposited on the blockchain. Additionally, we introduce a novel concept, ‘tax-endorsed reviews,’ devised to resist sybil attacks, such as injecting fake positive reviews for itself. Consequently, this necessitates the implementation of a four-party collaboration protocol. Finally, the security analysis complemented with our experimental results, definitively showcase the security and efficiency of BlockRep.
AB - Leveraging the recent surge in the electronic retail industry, retailer reputation has emerged with increasing significance in shaping consumer purchasing decisions. Despite this, the existing reputation platforms remain largely centralized, thereby enabling retailers to exert total control over reputation services, a reality that compromises the authentic portrayal of retailers. In response, we introduce a secure blockchain-based reputation system, named BlockRep, designed explicitly for the Industrial Internet of Things (IIoT) enabled retail industry. By eliminating dependency on trust inherently foundation in established E-retail platforms, BlockRep effectively resists sybil attack while ensuring review anonymity and authenticity, both critical security requirements of reputation systems. Initially, we champion a hybrid framework designed to enhance user interaction with our system. This approach leverages the centralized E-retail platform to facilitate trade services, whilst unfolding upon a blockchain platform that firmly authenticates the legitimacy of individual reviews. The authentication process is thus anchored to the correctness of cryptographic tokens, which are subsequently deposited on the blockchain. Additionally, we introduce a novel concept, ‘tax-endorsed reviews,’ devised to resist sybil attacks, such as injecting fake positive reviews for itself. Consequently, this necessitates the implementation of a four-party collaboration protocol. Finally, the security analysis complemented with our experimental results, definitively showcase the security and efficiency of BlockRep.
KW - Blockchain
KW - IIoT-enabled retailing industry
KW - Reputation system
KW - Sybil attack
UR - https://www.scopus.com/pages/publications/85214953250
U2 - 10.1016/j.future.2024.107705
DO - 10.1016/j.future.2024.107705
M3 - 文章
AN - SCOPUS:85214953250
SN - 0167-739X
VL - 166
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
M1 - 107705
ER -