The inseparable internet requirements and the endless stream of cyber-attacks have led to strong demand for trusted IP addresses. However, the existing collaborative DNS security schemes have the defects of low credibility and imperfect incentive mechanism. Enlightened by the Consortium blockchain technology, we propose a novel DNS Cache Resources Trusted Sharing Model, which can improve the credibility of DNS resolution results by establishing a complete chain of trust. Firstly, the consortium blockchain is introduced as the carrier of the peer-to-peer network to reduce the impact of illegal access and complicity tampering on the DNS cache credibility; Secondly, the evaluation index of the node credibility in the DNS cache sharing model is proposed, and the trust-based incentive mechanism is designed to reduce the impact of free-riding behavior and on the trusted performance of the system. The two indicators of node abnormal behavior similarity and roundtrip time between nodes are used to comprehensively evaluate the degree of recommendation of the node and serve as the basis for dynamic scheduling; Finally, we use the stochastic distributed decentralized storage mechanism to solve the problem of low efficiency in the consortium blockchain. The simulation results show that the model has certain advantages in ensuring the credibility of domain name resolution results, and maintains the ideal efficiency while ensuring trust. INDEX TERMS Blockchain, consortium blockchain, DNS security, sharing model.

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The correct inventory strategy is important to control reasonable inventory within manufacturing enterprises. And a new material inventory strategy is proposed based on the classification scheme according to the prosperities. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

Context-aware applications can sense and explore the context of production processes to provide proper and useful services to managers in workshop. The monitoring levels are partitioned and designed in this article. And the multi-level ontology model of materials is found which is expressed in the Web Ontology Language (i.e. OWL) as a ontology collection of describing places ages and events and associated properties among them. Within an intelligent monitoring system, dynamic adjusting algorithm of linking local coordination with global coordination for lacking parts is brought forward and dynamic coordination structure is put up based on event-driven architecture. Context-aware reactive behaviors can be expressed by using rules written in OWL Language, especially developed for context-aware applications.

To improve the knowledge management during product design process, a new model of knowledge composition and knowledge activity is constructed within or between organizations and persons. And based on the analysis of knowledge acquisition, transfer and innovation, the strategy for the implement of knowledge management project is proposed. At last the functions and structures of a software system are provided that supporting the knowledge management for product design in an manufacturing enterprise.