Blockchain Traceability System in Complex Application Scenarios: Image-Based Interactive Traceability Structure

Ju, Chunhua; Shen, Zhonghua; Bao, Fuguang; Wen, Zhikai; Ran, Xinze; Yu, Changhong; Xu, Chonghuan

doi:10.3390/systems10030078

Cited by 5 publications

(7 citation statements)

References 28 publications

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“…Unlike in [ 14 ], it can be seen from Figure 8 that in the traditional on-chain tracing, the interaction time with IPFS is stable at about 4 s (mainly the time consumed when downloading the original file). Compared with the time spent interacting with IPFS, which has been stable at about 4 s, the time spent on local retrieval of traditional chain traceability is growing rapidly with the increase of the overall transaction amounts.…”

Section: Simulation Experiments and Analysismentioning

confidence: 96%

“…Also, the problems of using blockchain alone to store data are apparent, the information that can be stored on the chain is limited; the level of applicability for complex scenarios is low, and timely traceability queries are complicated under a large number of accesses; the throughput capacity of information is poor, etc. [ 14 , 25 , 26 , 27 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this paper, by adding pointers to distributed storage files, a specific file structure is formed for traceability. The traceability process is separated from the verification process, therefore realizing the distributed traceability of “traceability off the chain and verification on the chain” [ 14 ]. The traceability structure and process we proposed in the previous study returns all of the data of the transaction chain, which leads to inefficient traceability of specific types of data when the on-chain data volume is huge and the types are too diverse.…”

Section: Interaction Structure Design Of Carbon Footprint Traceabilit...mentioning

confidence: 99%

“…The Interactive traceability structure supporting type filtering present in this paper adopts the concept of “traceability off the chain and verification on the chain” [ 14 ]. The full node just needs to locate the most recent transaction information on the blockchain, submit a file acquisition request to the IPFS system based on the CID in the transaction information, and return the pointer file when it receives the user’s request for traceability.…”

Section: Interaction Structure Design Of Carbon Footprint Traceabilit...mentioning

confidence: 99%

“…Regarding the application of blockchain technology in complex application scenarios, we have developed an interactive traceability structure for agricultural products and realized the traceability solution of off-chain traceability and on-chain verification [ 14 ]. Due to the adoption of blockchain-based distributed data storage and the decentralized traceability process, the storage structure has significant advantages in terms of tamper resistance, transparency, and traceability efficiency.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Credible Carbon Footprint Traceability System for Low Carbon Economy Using Blockchain Technology

Shen

Bao

et al. 2022

IJERPH

Self Cite

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To achieve the goal of carbon neutrality, many countries have established regional carbon emission trading markets and tried to build a low-carbon economic system. At present, the implementation of carbon emission trading and low-carbon economic systems faces many challenges such as manipulation, corruption, opacity, lack of trust, and lack of data tracking means. The application of blockchain technology can perfectly solve the above problems. However, the data recorded on a blockchain are often multi-type and heterogeneous, and users at different levels such as regulators, enterprises, and consumers have different requirements for data types and granularity. This requires a quick and trustworthy method for monitoring the carbon footprint of enterprises and products. In this paper, the carbon footprint traceability of enterprises and products is taken as an application scenario, and the distributed traceability concept of “traceability off the chain and verification on the chain” is adopted. By reconstructing the pointer of the file structure of the distributed storage, an interactive traceability structure supporting type filtering is constructed, which enables fast retrieval and locating of carbon emission data in the mixed data on the chain. The experimental results show that using the interactive traceability structure that supports type filtering for traceability not only releases the computing power of full nodes but also greatly improves the traceability efficiency of the long-span transaction chain. The proposed carbon footprint traceability system can rapidly trace and track data on an enterprise’s and a product’s carbon footprint, as well as meet the needs of users at all levels for traceability. It also offers more advantages when handling large amounts of data requests.

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Section: Simulation Experiments and Analysismentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Section: Interaction Structure Design Of Carbon Footprint Traceabilit...mentioning

confidence: 99%

Section: Interaction Structure Design Of Carbon Footprint Traceabilit...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Credible Carbon Footprint Traceability System for Low Carbon Economy Using Blockchain Technology

Shen

Bao

et al. 2022

IJERPH

Self Cite

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Full Link Pressure Testing System for Car-Hailing Software System

Du,

Jiao,

Zhang

et al. 2023

2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)

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OTI-IoT: A Blockchain-based Operational Threat Intelligence Framework for Multi-vector DDoS Attacks

Aguru,

Erukala

2024

ACM Trans. Internet Technol.

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The Internet of Things (IoT) refers to a complex network comprising interconnected devices that transmit their data via the Internet. Due to their open environment, limited computation power, and absence of built-in security, IoT environments are susceptible to various cyberattacks. Denial of service (DDoS) attacks are among the most destructive types of threats. The Multi-vector DDoS attack is a contemporary and formidable form of DDoS wherein the attacker employs a collection of compromised IoT devices as zombies to initiate numerous DDoS attacks against a target server. A Blockchain-based Operational Threat Intelligence framework, OTI-IoT, is proposed in this paper to counter multi-vector DDoS attacks in IoT networks. A ”Prevent-then-Detect” methodology was utilized to deploy the OTI-IoT framework in two distinct stages. During Phase 1, the consortium Blockchain network validators employ the IPS module, composed of a smart contract for attack prevention & access control, and Proof of Voting consensus, to thwart attacks. Validators are outfitted with deep learning-based IDS instances to detect multi-vector DDoS attacks during Phase 2. Alert messages are generated by the IDS module’s alert generation & propagation smart contract in response to identifying malicious IoT sources. The feedback loop from the IDS module to the IPS module prevents incoming traffic from malicious sources. The proposed OTI framework capabilities are realized as an outcome of combining and storing the outcomes of the IDS and IPS modules on the consortium Blockchain. Each validator maintains a shared ledger containing information regarding threat sources to ensure robust security, transparency, and integrity. The operational execution of OTI-IoT occurs on an individual Ethereum Blockchain. The empirical findings indicate that our proposed framework is most suitable for real-time applications due to its ability to lower attack detection time, decreased block validation time, and higher attack prevention rate.

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Blockchain Traceability System in Complex Application Scenarios: Image-Based Interactive Traceability Structure

Cited by 5 publications

References 28 publications

A Novel Credible Carbon Footprint Traceability System for Low Carbon Economy Using Blockchain Technology

A Novel Credible Carbon Footprint Traceability System for Low Carbon Economy Using Blockchain Technology

Full Link Pressure Testing System for Car-Hailing Software System

OTI-IoT: A Blockchain-based Operational Threat Intelligence Framework for Multi-vector DDoS Attacks

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