In today’s highly interconnected digital environment, computer network information security faces multiple threats such as data breaches, identity forgery, and malicious attacks. As a decentralized and tamper-proof distributed ledger system, blockchain technology provides a new technical path for data security through its core features of cryptographic algorithms and consensus mechanisms. This technology can ensure the integrity of information during data transmission and storage, effectively enhance the overall credibility of network systems, and inject new vitality into the information security protection system. Based on this, this paper explores the implementation of blockchain technology in computer network information security.
The rapid development of innovative Internet technology, represented by blockchain technology, has made de-intermediation finance feasible, significantly improved the availability of financing for the integration of small and medium-sized industries and universities, and reduced the financing cost of the integration of small and medium-sized industries and universities, so as to promote industrial transformation and upgrading through financial innovation. However, the development of talent training in supply chain finance in China is facing development bottlenecks such as information asymmetry, difficulty in verifying trade authenticity, and data security issues. With the rise of blockchain technology, people find that it has the characteristics of traceability, non-tampering, decentralization and so on, which can well solve the problems that hinder the training and development of supply chain financial talents. The financial platform built by using blockchain technology can optimize the convenience, timeliness and accuracy of the process in the transaction, reduce the possibility of dishonest behavior in the transaction, improve the convenience of trade financing, and establish a more high-quality and information-symmetric transaction mode for the society. Starting from the constraints of traditional supply chain finance talent training, this paper analyzes and summarizes the main development models of supply chain finance talent training at present, points out the core problems, and then studies the feasibility, value and significance of the application of blockchain technology in supply chain finance talent training from a theoretical perspective.
Abstract Facing the information era of rapid development of the Internet, university watercolor education is in urgent need of finding a new development direction. Through the emerging education model of Internet+education, this paper regards knowledge sharing as the transaction behavior of buyers and sellers in the knowledge market and establishes a smart contract model based on the knowledge supply and demand functions. A blockchain knowledge-sharing-based watercolor painting classroom model is proposed to break the traditional teaching role and apply it to the teaching and practical analysis of watercolor painting in universities. With the Internet+ education model, the teaching diversity increased by 26.90%, and the teaching interactivity increased by 6.12% compared with the original. Nearly 60% of the students thought that the teaching effect of the Internet+ education mode was improved. In the teaching practice, the students’ watercolor painting works received 7.53% more A grades in color usage compared to the original. For the evaluation of spatial level, the students who received A grades increased by 18.76% compared to the original. The Internet+ education model provides a new path for the development of university watercolor painting education, which helps cultivate watercolor painting artistic talents with both inclusive artistic thoughts and unique personal artistic characteristics.
The medical technology is being evolved for enhancing the healthcare information related to medication, diseases, medical images etc., by using Electronic Healthcare Recording (EHR). The details such as gender, age, and weight of patients are sensitive, and require protection against unauthorized access. Therefore, providing a robust security for medical data is indeed a challenge. The present research work proposed a Fully Decentralized Block chain (FDBC) model with the Proxy Re-Encryption Algorithm (PReA) with an Ethereum smart contract. The proposed FDBC-PReA allows the data to be visible only for the owner and the smart contract as the model is implemented in an Ethereum based test bed. Each time when the data is transformed, the data loss is obtained for the incorrect data which is taken care by the decentralized BC. The fully decentralized BC stores and checks whether each of the entity shares or accesses the real time data. The proposed FDBC-PReA Ethereum smart contracts, and proxy re-encryption algorithms are executed with a faster rate that consumed average block time of 5.48s, which is lesser when compared to average block times of Smart-Contract Ethereum Distributed Ledger-14s, Searchable
Blockchain is a chained data structure that connects data blocks in chronological order according to the principle of head to tail connection. It is a distributed ledger technology combined with a variety of network technologies. In essence, it is a decentralized database. In short, the database can be regarded as an account book, and everyone can participate in bookkeeping. As a distributed accounting technology, blockchain makes it possible to monitor the logistics transportation process in real time, and it also makes it easier to track down the responsibility in case of goods to goods problems. Since each node of the blockchain has bookkeeping permission, each entity in the goods transportation can also record the logistics information on the blockchain, which not only records the whole process of goods from delivery to receipt in real time, but also realizes the sharing, openness and transparency of logistics information. blockchain technology takes “distributed ledger” as the solution, and its essence is a decentralized data storage technology. In blockchain technology, there is no central node, each node is completely equal, and all nodes jointly maintain the public database through encryption protocol. Blockchain technology applies cryptography technology to decentralized networks.
Due to financing difficulties, NABE are hard to make progress. The main reasons are the information asymmetry between the financing parties, the lack of effective collateral and their own limitations. This paper will innovate the traditional financing mode by using the characteristics of Blockchain that is not easy to tamper with and decentralized, as well as the powerful functions of data mining, analysis and processing of Big Data technology, so as to establish a trust mechanism to solve the financing problems of new agricultural financial entities.
With the ceaseless expanding of big data and the Internet, it has more and more affected people’s life. The collection and construction of information has become the front-end technology of current industrial development. News reports and self-media channels are also more extensive. As one of the sections of news reports, sports has also encountered opportunities and challenges in its dissemination. As an innovative technology, blockchain has brought new impetus to the development of sports industry. It is also driving new technological upgrades and visual experiences. Blockchain is a chain data structure that combines data blocks in a sequential manner according to time sequence and is a cryptographically guaranteed untameably and unforgeable distributed ledger. Sports communication has more development opportunities in modern life. Therefore, the purpose of this paper is to explore a new path of physical integration and dissemination based on the theory of blockchain, analyze the development and integration path in the application of blockchain technology, and explore their respective advantages and disadvantages. This article will use the research method of specific analysis of specific problems to make data comparison and draw a conclusion, to carry out theoretical innovation and exploration, so as to find a suitable model to promote the development of sports industry. The so-called “sports big data” refers to the analysis and application of data in sports scenarios. Combined with competitive sports, the significance of data analysis lies in improving the level of competition and preventing sports injuries. The research results show that sports companies using blockchain technology have increased their communication efficiency by 37%, and audience popularity has increased by 15% year on year. The decentralized and anonymous features of blockchain technology ensure the originality and enthusiasm of sports data news teams. Therefore, through the analysis of the selection of application scenes and technologies of the sports industry by the blockchain technology, combined with the characteristics of the current era, the transformation is fully absorbed and combined with a new perspective. This paper analyzes different application dilemmas and explores the development prospects, thus putting forward the implementation path of physical industry blockchain technology application.
To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.
Ricardo Carreño Aguilera, Miguel Patiño-Ortiz, ADAN ACOSTA BANDA, LUIS ENRIQUE CARREÑO AGUILERA
This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs) in Emotion Recognitions (ERs) using audio–visual emotion patterns to determine a healthcare emergency to be attended. BCNN architectures were used to identify emergency patterns. The results obtained indicate that the proposed method is adequate for the classification and identification of audio–visual patterns using deep learning (DL) with Restricted Boltzmann Machines (RBMs). It is concluded that it is sufficient to consider the audio–visible key features obtained from the patient’s face and voice of the proposed model to recognize a healthcare emergency for immediate action. “Sense of urgency” and “with urgency but with self-control” are the emotion profiles considered for a healthcare emergency, and user personal emotion profiles are stored in the Blockchain ecosystem since they are deemed sensitive data.
The essence of “blockchain” is a shared database in which information stored is un-falsifiable, traceable, open, and transparent. Therefore, to improve the security of private information in medical systems, this article uses blockchain technology to design a method to protect private information in medical systems and effectively realize anti-theft control of private information. First, the Patient-oriented Privacy Preserving Access Control model is introduced into the access control process of private information in medical systems. Next, a private information storage platform is built by using blockchain technology, and information transmission is realized using standard cryptographic algorithms. In this process, file authorization contracts are also used to guarantee the security of private information and further prevent theft of medical private information. Our simulation results show that the storage response time of this method is kept below 1,000 ms, and the maximum information throughput rate reaches 550 kbit/s, which indicates that this method has strong performance in information storage and transmission efficiency. Moreover, the reliability and bandwidth utilization of data transmission across domains is higher, so the method has higher information security control performance and superior overall performance.
In order to improve the utilization rate of agricultural big data and solve the security issues problem of multisource and heterogeneous agricultural big data, an improved agricultural big data ant colony optimization algorithm (BigDataACO) is proposed to complete the multisource agricultural big data information in the feature layer and decision-making, and the problem of multisource data fusion was solved. The swarm intelligence algorithm is a process of simulating the complex problem of populations in nature through the mutual cooperation between individuals. The algorithm has potential parallelism and strong robustness, and the algorithm does not depend on specific problems. The definition, principle, and implementation method of agricultural big data fusion problem are studied. Then, the insufficiency of big data fusion modeling algorithm is analyzed. Finally, the source and core steps of the ant colony big data fusion algorithm are studied. The experimental results show that the improved BigDataACO algorithm is verified by the measured data. Compared with K-means, D-S evidence theory, and Bayesian algorithm, the uncertainty of data fusion is greatly reduced by the improved algorithm proposed in this paper.
As a product of a new generation of technological innovation, Blockchain technology has been widely used in finance, supply chain, public services, and other fields due to its advantages of tamper-proof, timestamp, and irreversibility. With the continuous development of its technology and the accumulation of integration experience with various industries, the application of blockchain technology to the accounting industry in the transformation from man-machine cooperation mode to intelligent mode, and the realization of the integration of blockchain technology and accounting information system are urgent problems to be solved in the accounting field at home and abroad. Based on the characteristics of the integration of blockchain technology and accounting information system, the virtual currency payment, blockchain electronic invoice, hash value, and hash reference are introduced into accounting information processing flow. Based on the significance analysis of the integration of blockchain technology and accounting information system, it is proposed to construct from the aspects of virtual currency payment, a traceable data processing platform, decentralized storage platform, user credit evaluation, and others, and to carry out heuristic thinking from the aspects of setting up a research and development team of "blockchain + accounting information system," unifying laws and regulations of "blockchain + accounting information system" in various countries, and changing the concept of accounting practitioners.
A variety of heterogeneous information is produced after the application of various emerging technologies in education, which is of great research value as educational assets. The traditional educational asset management system has emerged. In view of the disadvantages of traditional system centralization process, people begin to use decentralized blockchain technology for innovation. This paper proposes an educational digital asset management system architecture based on blockchain 3.0 technology system, which forms various data formed by students in and out of class learning process, courseware and experience data generated by teachers in the process of teaching into educational digital assets, and carries out the right confirmation and storage on the blockchain. The system can use a variety of heterogeneous data in digital assets to analyze the development status of school users, achieve the teaching purpose of teaching students according to their aptitude and different people.
Recently education blockchain driven smart education has become focus of attention, and related system frameworks and key technologies are presented. However, problems of difficult to model, difficult to experiment, and difficult to optimize in education blockchain need to be further solved, and driving mechanisms, application scenarios and other issues need further analysis. This paper first introduces education blockchain, challenges and issues, then based on introduction of parallel intelligence theory and parallel blockchain, it proposes parallel education blockchain, and its driven mechanism, function distribution, data transfer, application scenarios and related issues are elaborated; At last, several questions are raised for discussion.