# Trusted Data Access Control Based on Logistics Business Collaboration Semantics
###### Abstract  
In the context of the digital evolution of the logistics industry, the interconnection of logistics information systems and associated data have become an obstacle of business collaboration among various stakeholders. A critical challenge in this domain is ensuring controllable access to logistics business data, given the industry's current state characterized by independence, autonomy, disconnection, and heterogeneity, alongside the non-negotiable requirement for data privacy. We propose a novel model of trusted data access control based on of logistics business collaboration semantics. This approach incorporates semantic inference technologies into attribute-based access control mechanisms, thereby enabling the streamlined formulation of access control policies and facilitating unified authorization and control. Moreover, the method addresses the issue of access control policy management and maintenance at the semantic level. The proposed solution can pave the way for enhanced business collaboration between business entities, and further enable the building of a data exchange service platform within the logistics industry. s _applied_  
_sciences_  
Trusted Data Access Control Based on Logistics Business Collaboration  
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potential enhancements semantic support maybe can offer to access control precision in a novel manner. [PERSON] proposed the concept of semantic authorization, allowing semantically equivalent roles to access semantically equivalent objects [6]. The framework proposed in [PERSON] [7] further expands the work of [PERSON] [8] by providing a more detailed semantic model and complex authorization mechanisms such as delegation authorization. [PERSON] proposed a semantic web-based framework for implementing access control in social networks [9]. This work addresses the issue of access control in social networks, ensuring that only authorized users can access specific social network resources. It solves some limitations of fixed role permissions in traditional access control models. By introducing semantic relations and reasoning mechanisms, the framework can more accurately match users' access needs, and support more fine-grained permission management, so that users can better control their personal information and share resources. In the realm of trusted data access control, several scholars have explored pertinent research avenues. [PERSON] [10] proposed an architecture for constructing a secure access control system founded on the trusted execution environment (TEE) and identity-based encryption (IBE) mechanism. This framework integrates role-based access control mechanisms and trust management concepts within cloud computing environments. Additionally, [PERSON] [11] conducted in-depth research on the topic of trusted data sharing, focusing on blockchain-based flexible access control methods. Nevertheless, these methods may meet many problems in logistics industry. Many factors have to be considered such as trust and permission management among multiple supply chain participants. Two challenges are listed as follows:  
1. How to achieve unified authorization and access control among decentralized and heterogeneous information systems;
2. How to ensure the trusted identification of the subjects in the data-accessing process. Aiming to solve the above issues, we propose a unified authorization and access control model. At first, an ontology-based approach is utilized to deduce semantic information from logistics collaborations and abstract relevant attributes for access control. Then, blockchain and encryption technologies are employed to ensure the credibility of access subjects and data confidentiality. Thus, data security is guaranteed in the necessary data exchange for logistics business collaboration.