Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing
Source abstract
Abstract
Due to its decentralized, tamper-proof, and trust-free characteristics, blockchain is used in the Internet of Things (IoT) to guarantee the reliability of data. However, some technical flaws in blockchain itself prevent the development of these applications, such as the issue with linearly growing storage capacity of blockchain systems. On the other hand, there is a lack of storage resources for sensor devices in IoT, and numerous sensor devices will generate massive data at ultra-high speed, which makes the storage problem of the IoT enabled by blockchain more prominent. There are various solutions to reduce the storage burden by modifying the blockchain’s storage policy, but most of them do not consider the willingness of peers. In attempt to make the blockchain more compatible with the IoT, this paper proposes a storage optimization scheme that revisits the system data storage problem from a more practically oriented standpoint. Peers will only store transactional data that they are directly involved in. In addition, a transaction verification model is developed to enable peers to undertake transaction verification with the aid of cloud computing, and an incentive mechanism is premised on the storage optimization scheme to assure data integrity. The results of the simulation experiments demonstrate the proposed scheme’s advantage in terms of storage and throughput.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Blockchain Technology Applications and Security · IoT and Edge/Fog Computing · Cloud Computing and Resource Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
Show source-provided references
1. A survey on algorithms for intelligent computing and smart city applications10.26599/BDMA.2020.9020029 ↗
2. Privacy-aware traffic flow prediction based on multi-party sensor data with zero trust in smart city10.1145/3511904 ↗
3. Artificial intelligence for edge service optimization in internet of vehicles: A survey10.26599/TST.2020.9010025 ↗
4. Deep reinforcement learning based worker selection for distributed machine learning enhanced edge intelligence in internet of vehicles
5. A long short-term memory-based model for greenhouse climate prediction
6. Fast anomaly identification based on multi-aspect data streams for intelligent intrusion detection toward secure industry 4.010.1109/TII.2021.3139363 ↗
7. Varun · IoT Trends in 2020: 5 Things You Need to Know · 2020
8. LSH-aware multitype health data prediction with privacy preservation in edge environment10.1007/s11280-021-00941-z ↗
9. PSSPR: A source location privacy protection scheme based on sector phantom routing in WSNs10.1002/int.22666 ↗
10. Rational protocols and attacks in blockchain system10.1155/2020/8839047 ↗
11. Dynamic multi-key FHE in asymmetric key setting from LWE10.1109/TIFS.2021.3127023 ↗
12. A novel patient-centric architectural framework for blockchain-enabled healthcare applications10.1109/TII.2020.3037889 ↗
13. Rajmohan · Blockchain Technology · 2020
14. The blockchain data of bitcoin
15. Nakamoto · Bitcoin: A peer-to-peer electronic cash system · 2008
16. F. Yuan, S. Chen, K. Liang and L. Xu, “Research on the coordination mechanism of traditional Chinese medicine medical record data standardization and characteristic protection under big data environment,” Shandong, CHN, Shandong People’s Publishing House, 2021.
17. Semi-selfish mining based on hidden Markov decision process10.1002/int.22428 ↗
18. Is semi-selfish mining available without being detected?10.1002/int.22656 ↗
19. STSIIML: Study on token shuffling under incomplete information based on machine learning10.1002/int.23033 ↗
20. Franca · Privacy and Pruning in the Mini-Blockchain · 2014
21. Storage capacity scalable model for blockchain
22. An innovative IPFS-based storage model for blockchain
23. BC-store: A scalable design for blockchain storage
24. A low storage room requirement framework for distributed ledger in blockchain10.1109/ACCESS.2018.2814624 ↗
25. EPBC: Efficient public blockchain client for lightweight users
26. CUB: A consensus unit-based storage scheme for blockchain system
27. A correlation graph based approach for personalized and compatible web APIs recommendation in mobile APP development10.1109/TKDE.2022.3168611 ↗
28. Robust collaborative filtering recommendation with user-item-trust records10.1109/TCSS.2021.3064213 ↗
29. Bidirectional GRU networks-based next POI category prediction for healthcare10.1002/int.22710 ↗
30. Privacy-aware point-of-interest category recommendation in internet of things10.1109/JIOT.2022.3181136 ↗
31. ASTREAM: Data-stream-driven scalable anomaly detection with accuracy guarantee in IIoT environment10.1109/TNSE.2022.3157730 ↗
32. A truncated SVD-based ARIMA model for multiple QoS prediction in mobile edge computing10.26599/TST.2021.9010040 ↗
33. Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems10.23919/ICN.2020.0014 ↗
34. Big data with cloud computing: Discussions and challenges10.26599/BDMA.2021.9020016 ↗
35. CHARON: A secure cloud-of-clouds system for storing and sharing big data10.1109/TCC.2019.2916856 ↗
36. A scalable multicloud storage architecture for cloud-supported medical internet of things10.1109/JIOT.2019.2946296 ↗
37. Efficient resource management scheme for storage processing in cloud infrastructure with internet of things10.1007/s11277-015-3093-8 ↗
38. Cloud computing assisted blockchain-enabled internet of things10.1109/tcc.2019.2930259 ↗
39. Multiple cloud storage mechanism based on blockchain in smart homes10.1016/j.future.2020.09.019 ↗
40. Github. [Online]. Available: https://github.com/swarm-pit/ethstats/
41. Batching techniques for accumulators with applications to IOPs and stateless blockchains