# 6. Technical Architecture

**6.1 Blockchain Technology Application**\
GAEA is built on blockchain technology to ensure data security, transparency, and immutability. The decentralized nature of blockchain makes the data collection, processing, and distribution process more reliable and efficient, avoiding issues such as single points of failure and data monopolies. GAEA uses mature blockchain platforms such as Ethereum or Polkadot, leveraging their smart contracts and distributed ledger technology to ensure the transparency and security of the entire system.

**6.2 Decentralized Network Architecture**\
GAEA adopts a decentralized network architecture, where distributed nodes collaborate to achieve efficient data collection and processing. Each node participates in data filtering, splitting, and optimization to ensure the diversity and quality of the data layer. The decentralized architecture not only enhances the robustness of the network but also strengthens user engagement and control.

**6.2.1 Node Design and Management**\
GAEA nodes are designed to be lightweight, easy to deploy, and maintain. Node operators can install node software on their own devices, contributing network resources and participating in data processing. GAEA uses smart contracts to automatically manage the incentives and rewards for nodes, ensuring their efficient operation and fair distribution.

**6.2.2 Data Transmission and Storage**\
GAEA utilizes distributed storage technologies, such as IPFS (InterPlanetary File System), to ensure efficient data transmission and reliable storage. By using distributed storage, GAEA can achieve decentralized data management, improving access speed and security while avoiding the risks **associated with centralized data storage.**

**6.3 Data Processing and Security**\
GAEA uses advanced data processing technologies, including ZK processors and OP processors, to ensure the security and privacy protection of data during the collection and processing phases. Through encryption and anonymization techniques, GAEA ensures that users' personal data is not leaked and that only public network data is used for AI training.

**6.3.1 ZK Processor**\
The ZK (Zero-Knowledge) processor leverages zero-knowledge proof technology to ensure privacy protection during data processing. Through zero-knowledge proofs, GAEA nodes can verify the authenticity and integrity of data without exposing the specific contents of the data. This technology not only enhances the security of the data but also builds user trust in the GAEA system.

**6.3.2 OP Processor**\
The OP (Operation Processor) processor is responsible for data optimization and splitting. Through efficient algorithms, the OP processor can break down large-scale datasets into smaller blocks, making it easier to distribute and process them for training. The OP processor also handles data deduplication and classification, ensuring the high quality and diversity of the dataset.

**6.4 Smart Contracts and Automation**\
GAEA utilizes smart contracts to implement an automated point allocation and reward mechanism. Smart contracts ensure that each user's contributions are rewarded in a timely and accurate manner, reducing human intervention and errors. Additionally, smart contracts support various automated processes in the project, such as data verification, reward distribution, and node management, enhancing the overall efficiency and reliability of the system.

**6.4.1 Smart Contract Design**\
GAEA's smart contract design follows principles of high security and scalability. The smart contracts include modules for point allocation, reward calculation, and node management, with each module operating independently to ensure the system's flexibility and maintainability. GAEA conducts regular audits and testing to ensure the smart contracts are secure and function as intended.

**6.4.2 Automated Processes**\
GAEA’s automated processes encompass data collection, processing, optimization, and feedback. Through smart contracts, GAEA is able to automate the entire data processing workflow, reducing human intervention and improving system operational efficiency and data processing speed. The automated processes also include point distribution and reward issuance, ensuring that users' contributions are rewarded in a timely and fair manner.
