This review paper presents an examination of Blockchain and Smart Contract platforms focusing on their uses in various industries and addressing their implementation challenges. A notable gap exists in current literature: there is no comprehensive review that encompasses blockchain applications, implementation challenges, smart contract development platforms, and publication trends. Our quantitative analysis of publication trends, examining 9,288 papers from IEEE Xplore and Springer databases between 2019 and 2024, provides insights into the trajectory of blockchain research across sectors. It examines platforms like Ethereum, which enables decentralized application development but faces scalability constraints, and Hyperledger Fabric, which offers robust enterprise solutions. The research explores how blockchain revolutionizes industries including healthcare through secure patient data management, supply chain through enhanced traceability, and education through verifiable credentials. This review synthesizes current trends in blockchain platforms and implementation challenges across diverse industries.
在社交媒体营销蓬勃发展的当下，社群经济作为一种新的商业模式正在受到企业的重视，小红书以“种草”模式成为极具影响力的社群营销平台。本研究以新4C理论为基础，深入剖析小红书“种草”社群营销策略。研究发现，小红书通过构建符号化场景、输出情感化内容、打造圈层化社群以及实现社交货币驱动的连接，形成独特营销模式。然而，目前存在场景失真、价值稀释、社群区隔和信任消解等问题。为实现范式升维，需构建真实性符号认证体系、植入信息熵平衡评估模型、建立赋权机制以及推动DAO协同生产范式转型。本研究旨在为小红书及相关从业者提供理论与实践指导，助力提升营销效果，推动行业健康发展。In the booming era of social media marketing, community economy, as an emerging business model, is gaining increasing attention from enterprises. rednote has become an influential community marketing platform with its “seed-planting” model. Based on the new 4C theory, this study delves into rednote’s “seed-planting” community marketing strategy. It is found that rednote has developed a unique marketing model by constructing symbolic scenarios, delivering emotional content, creating community circles, and establishing connections driven by social currency. However, there are existing problems such as scene distortion, value dilution, community segregation, and trust erosion. To achieve paradigm upgrading, it is necessary to build a realness symbol certification system, embed an information entropy balance evaluation model, establish an empowerment mechanism, and promote the transformation to a DAO (Decentralized Autonomous Organization) collaborative production paradigm. This study aims to provide theoretical and practical guidance for rednote and relevant practitioners, helping to enhance marketing effectiveness and promote the healthy development of the industry.
Blockchain technology has garnered widespread attention across various sectors such as finance, healthcare, and government services due to its decentralized, tamper-resistant, and traceable nature. However, the conflict between privacy protection and regulatory compliance has emerged as a key barrier to its further development. Zero-Knowledge Proof (ZKP), as a next-generation privacy-enhancing technology, offers unique advantages in achieving "verifiability without disclosure." This paper systematically reviews the core technologies of blockchain and existing privacy protection methods, providing an in-depth comparison of mainstream ZKP protocols (e.g., zk-SNARK, zk-STARK, and PLONK) in terms of efficiency, security, and generality. It highlights how ZKP has become a technological pillar for privacy-compliant blockchain systems. The paper then explores practical application models of ZKP in cross-domain scenarios such as healthcare, finance, e-government, and supply chains, and further analyzes potential mechanisms through which ZKP can fulfill regulatory requirements such as AML, KYC, and auditing while preserving privacy. Finally, it discusses current technical bottlenecks and future development trends, including the integration of ZKP with AI, secure hardware, and post-quantum cryptography, as well as strategic frameworks for building a scalable and regulation-friendly blockchain ecosystem.
To address many issues with conventional credit assessment techniques, this article suggests an international credit evaluation system for trading firms built on blockchain technology and a grey correlation model. Blockchain technology improves the transparency and security of data processing with its distributed ledger and anti-tamper feature. Combined with ring signature technology, users can maintain anonymity during the evaluation process, protecting user privacy and preventing information leakage. The grey correlation model can still provide effective evaluation results in the case of incomplete data or insufficient information by analyzing the correlation between indicators. This paper constructs an evaluation index system containing three main dimensions, namely corporate characteristics, corporate credit, and corporate finance, and verifies the effectiveness of the evaluation system by analyzing the data of five representative international enterprises during the period from 2013 to 2023. The results show that the system can accurately reveal the comprehensive strength and credit risk, provide valuable references for the international trading industry and regulators, and improve credit management and risk control ability in international trade. The research is not only of great significance in theory but also shows a broad prospect in practical application, providing a scientific and reliable evaluation tool for credit management of international trade enterprises.
Smart contracts manage numerous digital assets, their security requirements are particularly prominent. Testing is an effective way to ensure the reliability of smart contracts. Current test case generation methods do not consider the impact of state variables and cross-contract calls on constraint conditions, leading to low test coverage for cross-contracts. In this regard, we propose a Cross-contract Data flow Analysis based Test case Generation (CDA-TG) method for Ethereum smart contracts. First, for each function in the target contract, CDA-TG generates its invocation sequence based on the principle of prioritizing functions that define or modify state variables. Then, for each parameter, CDA-TG performs cross-contract data flow analysis on the target contract, extracting the hard-coded values to build its parameter input pool. On this basis, CDA-TG applies the function invocation sequences to generate an initial set of test cases, where the value of each parameter is selected randomly from its parameter input pool. Finally, to further improve the branch coverage, CDA-TG applies the multiobjective sorting algorithm DynaMOSA to optimize the initial test cases. Our empirical study on 66 real smart contracts verified that CDA-TG can significantly improve the branch coverage of smart contracts, with a 8.86% improvement compared to the state-of-the-art test case generation method AGSolT in cross-contract scenario.
Sudha Arogya Mary Chinthamani, S. Vidya, C Praveen Kumar, Rakesh Chandrashekar · 6 authors
Real estate sectors are presently dominant and constitute a significant portion of the nation’s gross domestic product. Nevertheless, real estate deals can be forged through forged documents or operations. Numerous changes have been suggested, yet distributed ledger innovation has the potential to solve the majority of these problems. As Blockchain was initially developed to keep a financial record, its application can be expanded to include any decentralized computing structure, such as electronic record-keeping and administration structures. According to recent research, the application of Blockchain in the real estate field is still comparatively novel and unknown. As a result, in this paper, a blockchain-oriented framework for developing real-estate record-keeping is suggested. The suggested model was implemented in the Ethereum blockchain system, and the results demonstrated that it supported the development of secure, and efficient record-keeping.
Edward Torres Cruz, Akkaraju Sailesh Chandra, D. Rajani, Damian Dziembek · 7 authors
The incorporation of blockchain technology presents a viable answer as healthcare systems continue to struggle with problems relating to data security, integrity, and openness. This study explores how blockchain technology might be used in the healthcare industry to improve record-keeping security and transparency. With a focus on blockchain’s potential to transform data management and patient care, it examines the benefits and difficulties of utilizing technology in the delicate field of healthcare. Due to some of the industry’s prior difficulties, blockchain technology has developed as a potential solution. A digital shift is now taking place in the healthcare industry. Data can be recorded and stored securely, safely, and transparently using blockchain, a distributed ledger system. The processing, storage and collection of data for Electronic Health Records (EHR) has traditionally depended on centralised processes, which increases the risk of single points of failure and leaves the systems open to numerous external and internal data breaches that jeopardise their availability and dependability. Blockchain technology is being examined as a potential way to address the problems with current database 106techniques and enhance all elements of health records application. A “blockchain,” a new term for a distributed, immutable technology, is a digital events or database of records that are executed, verified, and stored using ledger technology. This prevents record tampering and alteration and provides an immutable architecture.
With the rapid development of Industrial Internet of Things (IIoT) technology, an increasing number of devices are connecting to the internet, generating vast amounts of sensitive data and creating data silos that hinder resource coordination. Current centralized storage systems for IIoT data are prone to single points of failure, privacy breaches, and security issues. To address these problems, this paper proposes an IIoT data storage and access solution based on Solana blockchain and InterPlanetary File System (IPFS) technology, aiming to achieve efficient, secure, and scalable data management. The Chainlink Verifiable Random Function (VRF) protocol generates verifiable and tamper-proof random numbers for data verification and consensus. Encryption algorithms and digital signatures implement data encryption, decryption, access control, and privacy protection, while zero-knowledge proof (ZKP) ensures data security and privacy during access. Leveraging IPFS, a high-bandwidth, distributed, peer-to-peer off-chain storage solution is constructed. Smart contracts define rules and automate data access and management operations, enhancing system security and automation. Simulation experiments demonstrate significant efficiency, security, and scalability advantages over traditional centralized solutions, making it suitable for IIoT applications with large data volumes. Future work will focus on optimizing node communication, expanding experiments, and real-world deployment to further enhance system performance.
This paper focuses on the implementation of decentralized identity authentication system and designs an innovative algorithm based on blockchain technology, aiming to improve the security, privacy and decentralization of the system. The algorithm proposed in this study implements encrypted storage and distributed authentication of identity data through distributed ledger and smart contracts of blockchain, ensuring the privacy and data security of users. The hash function and zero-knowledge proof method are introduced, so that the user's identity information does not need to be transmitted in plain text during the verification process, further improving the security of the authentication process. The model simulation part uses real data sets to test the system many times, covering key performance indicators such as response time, authentication success rate, throughput and system load. The experimental results show that while ensuring security, the system's response speed has improved by about 18%. The authentication success rate is more than 99%, and it still maintains high stability under high concurrency conditions. These results verify the effectiveness and practicality of the proposed algorithm, and provide theoretical and technical support for the application of decentralized identity authentication system in the future.
In the context of the digital age, data privacy and security issues are increasingly prominent. Blockchain technology plays an important role in data sharing due to its transparency and immutability, but it also brings the risk of privacy leakage. Zero knowledge proof technology provides a solution for verifying data correctness without exposing data content, which is particularly important for blockchain as it can ensure the validity and compliance of transactions while protecting user privacy. Although zero knowledge proof is quite mature in theory, its application in blockchain systems still faces challenges such as computational efficiency, complexity of smart contracts, and system compatibility. This study aims to propose a privacy protection scheme that supports interactive zero knowledge proof by improving the homomorphic encryption Paillier algorithm, in order to enhance the privacy protection capability of blockchain systems and maintain system efficiency and security. The study will adopt an interdisciplinary approach, combining cryptography, computer science, and network security theory, to deeply analyze the application effect of zero knowledge proof technology in blockchain, explore its optimization space and applicability.
Blockchain technology, as an emerging distributed ledger technology, has gradually shown great potential in the field of information traceability due to its characteristics of decentralization, non-tamperability, and transparency. Through blockchain technology, the production, circulation, and consumption of products can be recorded and verified to ensure the authenticity and credibility of the data. This article reviews the application of blockchain in information traceability, focusing on analyzing its practice and effects in food safety, drug traceability, supply chain management, and energy industry traceability. Through a systematic review of existing literature, this article summarizes the research status, main results, and technical challenges of blockchain information traceability, points out its significant advantages in improving transparency and trust, and also discusses the implementation complexity, limitations in terms of cost, and performance. Finally, this article proposes future development trends, including multi-chain integration and the combination of blockchain with other technologies. The research in this article provides important reference and guidance for the further development of blockchain technology in information traceability.
While smart farming is becoming increasingly popular as a way to improve the efficiency and sustainability of agroecosystems and global food security, its vulnerability to cyber-attacks is rapidly increasing. A distributed reputation system can help detect and prevent malicious activities by tracking the reputation of IP addresses of devices, products, and entities in a smart farming system, thereby enhancing its security and trust. In this paper, we propose a blockchain-based reputation system for IP addresses in smart farms for real-time intrusion detection and prevention. The study uses the Ethereum blockchain smart contracts, Oracles, Intrusion Detection System (IDS), and a Proof-of-Reputation (PoR) consensus mechanism. The system was evaluated on two datasets, the Spamhaus Blocklist, and the Malware Domain List datasets. It achieved high accuracy, recall, and precision rates, F1 score, as well as low false positive and false negative rates. This shows that the proposed system has high potential to be an effective tool for improving malware detection and prevention in real-time, creating a trusted supply chain for a smart farming ecosystem against a wide range of attack types, including denial-of-service attacks, probe attacks, and user-to-root attacks.
(1) There is a limit to the decision of maritime jurisdiction by the Constitutional Court. There is a problem of legislative formation in which the Constitutional Court determines the criteria for defining maritime jurisdiction, and it is difficult to prevent disputes in advance. And it has a fundamental limitation that the scope of the Constitutional Court's decision is limited to specific cases. Moreover, if the dispute is prolonged, the damage caused by it eventually falls to the residents. There are also limitations in the judgment of the judiciary on landfills. Its limitations are as pointed out in the text. Moreover, with our judicial system, which is resolved by case by case, it is not possible to comprehensively resolve the jurisdiction dispute in the Saemangeum area, which is likely to continue in the future. If so, judicial solutions that promote conflict and division should no longer be avoided. The profits of the Saemangeum project are not limited to one or several local governments due to the nature of the project. The profits from the Saemangeum project should be actively considered to return to the interests of the ours beyond the interests of the region and residents. (2) In order to solve the problem in the Saemangeum area, the measures proposed by the author through administrative integration or establishment of special local government can be much more economical and resident-friendly than individual jurisdiction over the newly established landfill. As a result, it can be a bright idea to connect with the national interest. The problem is the stakeholders of the present and the future. Above all, local politicians based on local politics will be the biggest obstacle. This is well illustrated by the past case of administrative integration. In the end, public opinion and residents' decision are important. If the relevant laws and regulations are well utilized, a referendum will be possible. Therefore, it is also proposed to introduce binding regulations in the Referendum Act or the Balanced Development of Autonomous Decentralization Act that prevent heads of organizations from making decisions against them on matters that have been referendum. (3) Currently, we have a serious problem of the times, the imbalance between the center and the region. The word ‘local extinction’ is no longer an unfamiliar word but a common noun in the present form. At this time, whether it is administrative integration or the establishment of a special local government, if a decision is made at the national level for the Saemangeum region, it will be an event that will mark a great milestone in Korea's administrative and local government history. I mention a few things to be particularly careful about in the debate. At the same time as the integration discussion, a discussion on the drastic transfer of state affairs should also be conducted. The success of administrative integration or special local governments depends on what duties they will perform. Therefore, in order for the Saemangeum region to enjoy both national and regional interests through administrative integration, the autonomy of major projects related to the Saemangeum region is transferred or delegated to the local government. Otherwise, the Saemangeum region is feared to become a large local government that only performs agency commissions under the direct control of another state. To ensure institutional security in this regard, it may be possible to consider enacting special laws such as the tentatively named ‘Act on Administrative Affairs performed in Saemangeum Area’ to transfer affairs to local governments or special local governments established in Saemangeum area. Of course, it is necessary to accelerate the development of office work that special local governments can carry out.
Su Jianjiang, Ji Baizhou, Zhu Lixiao, Lin Cheng · 6 authors
In order to solve the problems such as the inability to authenticate and the slow speed of authentication in the security of hydropower station end users, a distributed security authentication system based on edge computing and blockchain is designed. Utilizing the blockchain mechanism of blockchain technology to achieve secure and stable control of power grid end-user security authentication. Using the distribution characteristics of edge computing, the identity information of new devices is obtained by integrating the edge device terminals on the blockchain with the Hash distributed storage model, and the security distributed control authentication of new devices or users is realized. Upload authenticated device or user information to the core blockchain network to reduce the workload of host protocol conversion authentication and improve the speed of identity verification. The use of Proof of Stake (DPoS) consensus technology to improve the Hash model further solves the problem of the inability to continue authentication after refreshing the identity of the Hash model. Through experimental verification, the maximum error rate of the technical accounting data of the system is 0.7%, and the minimum is 0.2%. The application effect of this system is obvious.
Federated learning, as a distributed machine learning method is facing significant challenges in data privacy protection at present. This study aims to enhance the privacy protection capability of federated learning by integrating blockchain consensus mechanisms, as well as proposing a novel solution by designing a decentralized federated learning framework using consensus mechanisms such as Proof of Stake (PoS), and implementing smart contracts to automate key processes. The research results demonstrate that this approach effectively enhances the security and transparency of data processing while ensuring the efficiency and scalability of the system. Furthermore, the adoption of homomorphic encryption technology further ensures the security and integrity of data during transmission.
With the rapid development of information technology, blockchain technology, as an innovative distributed ledger technology, has begun to be applied in many fields such as finance, supply chain management, and the Internet of Things. As an important part of economic management, accounting faces the challenge of transforming from traditional manual operation to intelligent and automated direction. The characteristics of blockchain technology, such as decentralization, data immutability and transparency, provide new solutions for the authenticity, accuracy and completeness of accounting information. Based on this, this paper mainly discusses and analyzes how to reform accounting teaching in colleges and universities through blockchain.
As the main power supply mode of new energy, photovoltaic system has the characteristics of wide distribution and scattered energy collection Traditional management methods cannot realize the effective processing of distributed energy storage. Therefore, finding an effective intelligent method is the focus of current research, and the design of blockchain smart contracts can theoretically realize the centralized processing of photovoltaic energy storage systems. In this paper, the blockchain smart contract system is taken as the research object, and the energy storage management of the photovoltaic system is quantified through mapping, so as to realize the massive quantitative processing of data. Then, the reduction function is used to differentially reduce the distributed functional energy storage system, complete the centralized management of energy storage, and simplify the unnecessary data. Finally, combined with the hybrid energy storage situation, the key indicators in the data are mined, and the completion rate of the contract and the stability analysis of energy storage management are calculated. The results show that blockchain can mine the characteristics of hybrid energy storage, reduce the impact of distributed features on energy storage, improve the energy storage efficiency by 20%, and make the energy storage stability reach more than 90%. At the same time, the completion rate of smart energy storage contracts can be enhanced, the fitting degree can reach 90%, and the grid connection with the thermal grid can be effectively connected, the utilization rate of distributed energy resources will reach 85%, and the cost saving rate will be increased by 10%. Therefore, blockchain can solve the problem of hybrid energy storage in integrated systems, improve the completion rate of smart contracts, and promote the development of new energy.
Existing environmental monitoring systems mostly adopt hierarchical centralized management methods, forming data islands. In terms of management and monitoring, human control factors are high, causing the ecological environment monitoring platform to fall into difficulties such as low data credibility, no traceability, and low security. Distributed ledger technology, as one of the core technologies of the blockchain, can disperse the confirmed data among multiple nodes for simultaneous consensus and give it a timestamp. It ensures the traceability and decentralization of data and avoids the occurrence of data islands and unreliable data during the environmental monitoring process. Combined with the characteristics of distributed ledger technology such as traceability, decentralization, non-tamperability, and openness, we explore its role in the ecological environment monitoring platform from various aspects such as environmental quality monitoring, resource management, behavioral supervision and restraint, and energy usage monitoring. feasibility, and pointed out the risks and challenges faced by distributed ledger technology in the application of ecological environment monitoring platforms. Assist in the design and construction of ecological environment monitoring platforms in the digital era.
Sung Sik Im, 호서대학교 정보보호학과 석사과정, Seo Yeon Kim, Dong Woo Kim · 7 authors
최근 개인정보 유출에 대한 사고가 빈번하게 발생함에 따라 개인정보보호에 대한 관심이 높아지고 있다. 또한, 블록체인 기 술의 등장과 함께 블록체인을 적용한 자기주권 신원 모델에 대한 관심이 높아지고 있으며, 이를 실현하기 위해 DID에 대한 연구도 꾸준히 이루어지고 있다. 하지만 대학 내 전산시스템은 수많은 개인정보 등의 주요 정보를 저장하고 활용하지만, 중앙 화된 정보시스템을 기반으로 운영 및 관리되고 있으며, 이에 따른 개인정보 유출 사고사례도 매년 발생하고 있다. 따라서 본 논문에서는 대학 내 적용 가능한 DID 기반의 전산시스템을 제안하고 이를 구현한다. 또한, 대학 내에서의 대표적인 서비스를 설정하고 구현 시스템에서 수행한다. 제안하는 시스템은 영지식증명을 기반으로 사용자의 자기주권 신원을 보장할 수 있으며, 기존의 중앙화된 시스템에서 벗어나 안전한 대학 내 통합정보시스템을 구성할 수 있다.
This paper focuses on the empirical analysis of personal credit assessment of online lending platform from the perspective of personal credit, and the security of credit privacy data can be guaranteed by blockchain classification model. This paper is mainly based on the chain security encryption operation and decentralized data classifier training model, blockchain storage credit data between the ecological nodes through the transmission of transaction decision data return beacons, to achieve the data retrieval, use, confirm the rights and rewards, and at the same time the use of clustering learning algorithms combined with the decentralized training model to build a unique algorithmic training system, through the machine learning to backtrack all the transaction records, the sharing of the After data processing of credit data information, the fiducial correction fitting model using feedback from data samples, thus opening the modeling method of blockchain and clustering algorithm combined application in the field of credit. In the final analysis, the research on the application of blockchain technology in the credit collection industry should not stop at guaranteeing the security and traceability of data, but rather apply the "pre-credit review", "credit monitoring" and "post-credit management" to the entire credit collection industry. "Instead, it should be applied to the entire credit collection process, and used to guide Internet credit bureaus in their daily credit collection activities. Blockchain technology mainly solves the problem of credit trust and security, for this reason, it is necessary to construct a complete set of methods for analyzing, verifying and measuring Internet credit data. This paper combines the blockchain and the clustering algorithm in machine learning, and empirically analyzes the credit data of Internet consumer financial institutions under this framework.
Amir Meydani, Hossein Shahinzadeh, Ali Ramezani, Gevork B. Gharehpetian · 5 authors
Blockchain (BC) is a decentralized and unalterable form of distributed ledger that possesses the ability to store data autonomously, without the need for intermediaries. The adoption of BC has brought forward novel strategies for tackling cybersecurity and privacy issues within the Internet of Energy (IoE) framework. This study will analyze the possibilities of integrating blockchain technology into the IoE after conducting a comprehensive review of its architecture, essential components, and applications. Next, we will thoroughly analyze the utilization of BC in safeguarding the cybersecurity and privacy of the IoE by examining state-of-the-art papers. By synthesizing previous research and real integrations, this study aims to provide a comprehensive understanding of the various ways in which BC increases cybersecurity in the IoE. BC’s decentralized design plays a crucial role in enhancing the resilience of the energy grid against cyber threats by facilitating rigorous identity verification, transparent data aggregation, and safe energy transactions. Also, the utilization of cryptographic algorithms and consensus processes embedded into BC provides complex solutions for safeguarding data and managing identities, thereby granting stakeholders enhanced authority over their personal information. This analysis underscores the potential of BC to enhance resilience in the IoE, hence facilitating the development of a more secure and reliable energy infrastructure.
Innovation for Electronic Medical Records (EMRs) has been hindered by years of excessive regulation and inefficient bureaucracy. As data science and personalization encourage individuals to take an active role in their healthcare and regain control of their own medical records, there is an urgent need for new approaches. The ability to exchange electronic health records is fundamental in contemporary healthcare systems for facilitating a wider range of health services and delivering high-quality treatment. Despite the requirement for utilizing medical information for various reasons, most patients still authorize paper forms with minimal participation. The present methods of managing patient consent and medical data exchange are laborious, expensive, and prone to failures, even with quality assurance measures in effect. Because of this, there may not be enough patient empowerment, which can lead to inefficiencies in the process and a lack of trust and transparency. A shortage of resources makes it harder to acquire individual consent, which is necessary for health data exchange. Healthcare organizations also grapple with patient consent. Blockchain-based platforms enable data exchange by developing a trusted user network. Users can share their data without relying on health service providers for time and resources. Blockchain-based systems necessitate data governance frameworks to specify and monitor data exchange and use. This research article aims to establish a system that healthcare organizations may use to easily gain patient consent for various objectives, while also giving patients more flexibility in managing their consent. In this study, a novel electronic consent model namely ‘Smart Consent Blockchain Based System (SCBCS)”, is built on the hyper ledger fabric Blockchain that employs a purpose-based access control method. Distributed ledger technology (blockchain) ensures that all metadata pertaining to patient records, permissions, and data access cannot be altered once written. Additionally, Blockchain chain code is developed to handle patient consent-related business logic. A prototype is constructed and verified business logic with the chain code, validating the requestor's data access and patient permission saved in the Blockchain. The proposed SCBCS acts as a consent management system for patients and healthcare organizations. The proposed method is compared with other existing methods 'MedRec’, Consent Management System (CMS). The results demonstrate this system manages medical staff data access requests effectively. The proposed method outperforms other methods compared with low latency, less gas consumption, and low access time. This Blockchain-based proposed SCBCS technology offers great dependability, transparency, and traceability for patient data sharing in hospitals and research.
The continuous development of the Internet and the continuous changes in digital technologies such as artificial intelligence, blockchain technology, and AIGC technology mean that digital technology is the direction of future urban development. With the development and progress of society, problems such as environmental damage, lax regulatory systems, and low enthusiasm of people to protect the environment frequently occur. The quality of the global environment and social development develop in inverse proportion. As one of the key technologies for the development of future digital cities, blockchain technology has the characteristics of decentralization, openness, non-tamperability, traceability, and incentivization, which can meet the public’s openness and incentives for ecological and environmental protection behaviors. change. Use the “incentive mechanism” and “distributed ledger” technologies in the blockchain to improve the public’s behavioral enthusiasm for protecting the ecological environment and the standardization of resource utilization, and ensure the authenticity and real-name nature of the data obtained from participating in ecological protection activities. Fundamentally implement technology and ecological environmental protection measures to promote the construction of ecological civilization in the digital era.