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논문 기본 정보

자료유형
학술저널
저자정보
Haotian Chen (Seoul National University of Science and Technology) Abir El Azzaoui (Seoul National University of Science & Technology) Sekione Reward Jeremiah (Seoul National University of Science and Technology) 박종혁 (서울과학기술대학교)
저널정보
한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제19권 제2호
발행연도
2023.4
수록면
240 - 257 (18page)
DOI
10.3745/JIPS.03.0184

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The industrial Internet of Things (IIoT) is characterized by intelligent connection, real-time data processing,collaborative monitoring, and automatic information processing. The heterogeneous IIoT devices require a highdata rate, high reliability, high coverage, and low delay, thus posing a significant challenge to informationsecurity. High-performance edge and cloud servers are a good backup solution for IIoT devices with limitedcapabilities. However, privacy leakage and network attack cases may occur in heterogeneous IIoT environments. Cloud-based multi-party computing is a reliable privacy-protecting technology that encourages multipartyparticipation in joint computing without privacy disclosure. However, the default cloud selection methoddoes not meet the heterogeneous IIoT requirements. The server can be dishonest, significantly increasing theprobability of multi-party computation failure or inefficiency. This paper proposes a blockchain and smartcontract-based optimized cloud node selection framework. Different participants choose the best server thatmeets their performance demands, considering the communication delay. Smart contracts provide a progressiverequest mechanism to increase participation. The simulation results show that our framework improves overallmulti-party computing efficiency by up to 44.73%.

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