A Novel Smart Contract based Optimized Cloud Selection Framework for Efficient Multi-Party Computation
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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%.
Abstract
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%.
참고문헌 (23)
- "Working from home increases cyberattack frequency by 238%, new study by alliance virtual offices finds" (2022)[URL]
- Abir El Azzaoui, "Scalable Lightweight Blockchain-Based Authentication Mechanism for Secure VoIP Communication", Human-centric Computing and Information Sciences, 12(0), pp.107~119 (2022), KIPS-CSWRG[DOI]
- 박지수, "Future Trends of IoT, 5G Mobile Networks, and AI: Challenges, Opportunities, and Solutions", JIPS(Journal of Information Processing Systems), 16(4), pp.743~749 (2020), 한국정보처리학회[DOI]
- Inés Sittón-Candanedo, "Edge Computing, IoT and Social Computing in Smart Energy Scenarios", Sensors, 19(15), pp.3353~ (2019), MDPI AG[DOI]
- Mikail Mohammed Salim, "Homomorphic Encryption Based Privacy-Preservation for IoMT", Applied Sciences, 11(18), pp.8757~ (2021), MDPI AG[DOI]
- R. J. Hassan, "State of art survey for IoT effects on smart city technology: challenges, opportunities, and solutions", Asian Journal of Research in Computer Science, 8(3), pp.32~48 (2021)
- Sushil Kumar Singh, "DeepBlockScheme: A Deep Learning-Based Blockchain Driven Scheme for Secure Smart City", Human-centric Computing and Information Sciences, 11(0), pp.1~1 (2021), KIPS-CSWRG[DOI]
- N. Volgushev, "Conclave : secure multiparty computation on big data", Proceedings of the 14th EuroSys Conference 2019, pp.1~18 (2019)
- H. Boyes, "The industrial internet of things (IIoT): an analysis framework", Computers in Industry, 101, pp.1~12 (2018)
- J. Cheng, "Industrial IoT in 5G environment towards smart manufacturing", Journal of Industrial Information Integration, 10, pp.10~19 (2018)
- Z. Zhou, "Blockchain-empowered secure spectrum sharing for 5G heterogeneous networks", IEEE Network, 34(1), pp.24~31 (2020)
- Y. Tian, "A blockchain-based machine learning framework for edge services in IIoT", IEEE Transactions on Industrial Informatics, 18(3), pp.1918~1929 (2022)
- N. Bugshan, "Privacy-preserving microservices in industrial Internet of Things driven smart applications", IEEE Internet of Things Journal, 10(4), pp.2821~2831 (2023)
- A. Kumari, "Blockchain-based massive data dissemination handling in IIoT environment", IEEE Network, 35(1), pp.318~325 (2021)
- S. Li, "Lightweight privacy-preserving scheme using homomorphic encryption in industrial Internet of Things", IEEE Internet of Things Journal, 9(16), pp.14542~14550 (2022)
- Yiran Wang, "A Survey of the Application of Blockchain in Multiple Fields of Financial Services", JIPS(Journal of Information Processing Systems), 16(4), pp.935~958 (2020), 한국정보처리학회[DOI]
- R. R. Kumar, "CCS-OSSR : a framework based on hybrid MCDM for optimal service selection and ranking of cloud computing services", Cluster Computing, 24(2), pp.867~883 (2021)
- C. Jatoth, "SELCLOUD : a hybrid multi-criteria decision-making model for selection of cloud services", Soft Computing, 23, pp.4701~4715 (2019)
- R. R. Kumar, "A novel framework for cloud service evaluation and selection using hybrid MCDM methods", Arabian Journal for Science and Engineering, 43, pp.7015~7030 (2018)
- L. Sun, "A framework of cloud service selection with criteria interactions", Future Generation Computer Systems, 94, pp.749~764 (2019)
- F. Benhamouda, "Supporting private data on Hyperledger Fabric with secure multiparty computation", IBM Journal of Research and Development, 63(2, pp.3) (2019), 3:1~3:8[DOI]
- H. Gao, "BFR-MPC: a blockchain-based fair and robust multi-party computation scheme", IEEE Access, 7, pp.110439~110450 (2019)
- Z. Guan, "A blockchain-based dual-side privacy-preserving multiparty computation scheme for edge-enabled sm", ~
