Counterfeit products are internationally regarded as “the world’s second greatest public health hazards after drugs”. Counterfeiters produce counterfeit brand clothing and then sell them to consumers through unofficial channels; thus, consumers spend a lot of money without getting the value they deserve. With the rise of e-shopping, the safety and security of branded clothing supply chains are also under threat. Counterfeit branded apparel manufacturers generate profits while genuine manufacturers suffer, which ultimately violates the interests of the public. This study proposes a traceable anti-counterfeit management system for branded clothing based on Hyperledger Fabric technology. This system can achieve full traceability of the production information of branded clothing. It uses the unique characteristics of blockchain, such as being unforgeable, traceable, open, and transparent, and collectively ‘maintaining’, to record the specific production processes of the brand clothing, and ensure the authenticity and legitimacy of the production information of brand clothing. The end-user can self-verify the product’s authenticity by sharing the product’s details on the immutable framework. It solves problems surrounding information asymmetry, opaque supply chain data, and easy falsification in the production process of branded clothing in traditional branded clothing supply chains.

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With the rapid development of industrial Internet of Things, the secure transmission of nodes in Internet of Things is easily attacked by malicious nodes at all times, thereby causing a great threat to network performance and security of industrial Internet of Things. To improve the security and success rate of data transmission in industrial Internet of Things environment, this work proposes a data transmission scheme based on the weighted security partition model by considering the requirements of a hostile industrial environment. The weighted security partition of the nodes determines the secret distribution model. On this basis, a secure authentication scheme for network transmission is proposed for industrial Internet of Things to prevent the data from being tampered by malicious industrial nodes. Authority access control is added to the authentication scheme. The network access authority of users is used to eliminate the access of malicious users. Finally, the simulation experiments and performance evaluation are conducted and compared with other secure transmission algorithms. Results show that, by comparing to low-energy adaptive clustering hierarchy and distributed data secure transmission, the transmission rate of the proposed algorithm has increased by 35% and 25%, and the lifetime has increased by 34.3% and 37.3%, respectively.

In recent years, the attention of online cross-university courses has been increasing, and students in universities want to increase their knowledge and professional skills by taking online courses from different universities, which raises the issue of course credit verification. In the past, the credits obtained by students in online courses lack endorsement from the education department, and the students’ learning process could not be verified. Therefore, the credits of online courses in one university could not be recognized by other universities. The education departments of some countries and regions implement credit conversion rules to convert the credits obtained by students in online courses into university credits or certificates endorsed by the education department. However, these schemes rely too much on the authority of the education department, and the process of students obtaining credits cannot be verified. In addition, the centralized storage method makes the data of education departments at risk of leakage or tampering. With the emergence of blockchain technology, some researchers have proposed the use of blockchain to store students’ credits, making it possible to reach consensus among multiple parties on the blockchain while ensuring that credits are not tampered with, but these schemes cannot test the learning process of students and the recognition of credits still relies on the authority of the education department. To solve the above problems, this paper proposes a cross-university course learning system with verifiable credits based on Hyperledger Fabric consortium blockchain technology, and the consortium includes many universities. The credits obtained by students in the course and the hash value of the learning records are stored on the blockchain, and the data on the blockchain is jointly maintained by the universities in the system. One university can verify the homework and final examination of students to check the real ability of students, thus recognizing the credits from other universities, and at the same time, to protect the privacy of students, the important data of students are encrypted for transmission.

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