## 2 Related Works  
Context privacy preservation techniques for user validation using Wireless Sensor have gained popularity in recent years as IoT devices are being deployed in a variety of areas, including industrial and smart cities. Several studies have investigated various techniques to address the issues associated with maintaining context privacy while verifying users using sensors. Of note, [PERSON] et al. proposed a system that protects users' privacy by using a hierarchical authentication architecture to confirm users' identities [8]. It ensures the security and integrity of user data by utilizing a blockchain in a named data approach to safeguard communication between authentication servers and sensors. In another work, the system designed provides an ECC-based three-factor user authentication and key agreement system for WSNs in the Internet of Things applications that are context-aware and privacy-preserving [9]. Contextual data, including location and ambient conditions, are used by the technique to improve authentication while protecting user privacy. Homomorphic encryption and secure multiparty computing are two of the cryptographic primitives it uses to offer privacy-preserving authentication without sacrificing security. Using low-tech cryptography approaches, sensors, and authentication servers, they can communicate securely while maintaining user data integrity and confidentiality. In a further stretching of the cryptographic frontiers, a safe and privacy-preserving user authentication mechanism tailored for WSNs in IoT contexts was presented. The approach uses lightweight cryptographic techniques and contextual information to authenticate users while protecting their privacy [10]. It uses group-based authentication and dynamic key management approaches to reduce security risks and increase resilience to attacks like node compromise and eavesdropping. In addition, there is a focus on privacy-preserving au  
Figure 1: The Metaverse Layout [7].  
thentication in WSN-enabled healthcare applications. The suggested approach assures the confidentiality and integrity of sensitive health data exchanged over the network, as well as secure user authentication [11]. It uses a combination of cryptographic primitives, such as identity-based and attribute-based encryption, to achieve fine-grained access control and privacy preservation in healthcare contexts [12; 13]. Despite all the privacy-preserving methods available for other applications, the challenge of user detail exposure during users' validation within the industrial Metaverse access system still exists. Thus, in this paper we aim to:  
1. Explore the role of context privacy-preservation technology in ensuring secure and privacy-aware user validation processes within the Industrial Metaverse access system.
2. Propose a sensor-based masked-access fingerprint recognition system for user validation. This will ensure the user's privacy within the access system of the metaverse.
3. Evaluate the AccesSensor time-based efficiency and bandwidth utilization capabilities as compared to the DPSensor's noise addition privacy method.  
The rest of the paper is organized as follows: Section 3 describes the proposed technology solutions: Section 4. Elaborates the masked privacy preservation technique for industrial IoT edge network systems. Experiments and analysis are displayed in Section 5 and conclude the paper. Through this research, we endeavor to provide insights and guidelines for the effective implementation of privacy-aware access control systems in the Industrial Metaverse. As far as we know, this is a unique research we have carried out.