# Securing Construction Workers' Data Security and Privacy with Blockchain Technology
## 3 Methodology
### Experimental Design of the Proposed Blockchain
#### 3.1.3 Deployment of Proposed Blockchain
The outcomes of this testing contribute significantly to the advancement of blockchain technology within the construction industry, empowering stakeholders with informed decision making capabilities, enhancing safety measures, and streamlining workforce management practices. #### 4.1.3 Security Details of the Conceptual Blockchain Developed on AWS

This section provides a detailed overview of the rigorous security measures integrated into the conceptual blockchain hosted on the Amazon Web Services (AWS) platform. Four specialized security groups (sg-08f3412 cb81a7901, sg-0f83 feae57f50 dfdd, sg-053f91c3d59 af2214, and sg-0346252744c032a7) were meticulously implemented to govern network access to specific instances. Functioning as virtual firewalls, these security groups offer heightened control over communication channels, as represented in Figure 10. Each security group is customized to fortify the overall resilience of the blockchain network, thus addressing stringent security requirements and mitigating the risks associated with unauthorized access. Figure 9: Testing of conceptual blockchain system using Hyperledger Explorer. Figure 11 provides a snapshot of the database housing the comprehensive data of construction workers securely stored on the blockchain. It confirms the database's availability status, highlighting the active integration of the security group sg-08f3f412 cb81a7901 by rds-ec2-1. The \"Publicly accessible\" parameter status is set as \"No,\" which signifies a secure, non-publicly-accessible blockchain environment. This configuration establishes a robust defense mechanism, thus safeguarding the blockchain against unauthorized external access and aligning with the stringent security standards embedded in the AWS ecosystem. This depiction underscores the stringent security protocols meticulously implemented within our AWS-hosted blockchain, thus ensuring the confidentiality and integrity of the stored construction worker data. Figure 11: Database snapshot and security status. Figure 10: Security groups developed on developed blockchain. These robust security measures are pivotal in addressing concerns related to data vulnerability, identity theft, and misuse. By systematically controlling access to critical information stored on the blockchain, these security configurations act as a bulwark against unauthorized entry. This deliberate emphasis on security aligns with industry best practices, thus aiming to create a blockchain environment resilient to external threats and unauthorized access and ensuring the integrity and confidentiality of the stored data. ### Discussion

The development of the conceptual blockchain model for information management presents a significant improvement in addressing the privacy and safety concerns surrounding construction workers' personal information. The model establishes a secure and transparent process for registering and endorsing construction workers' data. The process involves the storage of construction workers' biodata and safety data, and it requires digital signatures and endorsements from authorized participants, thus restricting access to unauthorized personnels and thereby controlling the vital challenges of data manipulation and breach, as highlighted in [19; 20; 21]. The governance structure ensures that each participant's input is valued and authenticated. When information is requested, the smart contract converts it into a transaction, sending it through the ordering service to be included in blocks, which are then cryptographically secured and added to the blockchain. This creates an immutable chain of records, safeguarding the integrity and privacy of the data. To reinforce information security during the endorsement, the model incorporates a consensus algorithm, which provides a robust layer of protection and ensures the privacy of workers' information, thus addressing the identified threats, such as identity theft. The model functions as a comprehensive information management platform and complies with the European Union's GDPR.