# System Architecture

AetherSec’s system architecture is a multi-layered, modular design that tightly integrates AI’s intelligent analysis capabilities with blockchain’s decentralized features to create an efficient and scalable security ecosystem. Below is a detailed breakdown of the architecture and how its layers collaborate.

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<summary>Data Collection Layer</summary>

Function&#x20;

The data collection layer serves as AetherSec’s foundation, extracting real-time data from blockchain networks to provide input for AI analysis.&#x20;

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Implementation&#x20;

\- On-Chain Data: Captures transaction records, contract state changes, and event logs (Event Logs) by listening to blockchain nodes (e.g., Ethereum’s Geth or BSC’s Full Node).&#x20;

\- Off-Chain Supplements: Incorporates threat intelligence from decentralized storage (e.g., IPFS) and external data submitted by the community (e.g., known malicious address lists).&#x20;

\- Data Standardization: Converts multi-source data (e.g., transaction amounts, Gas usage, call frequencies) into a uniform format for AI processing.&#x20;

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Role of Blockchain&#x20;

\- Data is stored with block hashes and timestamps, ensuring authenticity and traceability.&#x20;

\- Light nodes or oracles optimize data collection efficiency, reducing reliance on full nodes.&#x20;

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<summary>AI Processing Layer</summary>

Function&#x20;

The AI processing layer runs Aether Guardian, handling threat detection, behavior analysis, and response strategy generation, forming the system’s intelligent core.&#x20;

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Implementation&#x20;

\- Distributed Computing: Aether Guardian instances operate across multiple nodes, each processing local data and generating preliminary threat assessments.&#x20;

\- Model Collaboration: Federated learning aggregates model updates from nodes, periodically producing a global threat detection model stored on the blockchain.&#x20;

\- Real-Time Inference: Employs efficient algorithms (e.g., GRU-based sequence analysis or lightweight CNNs) to process data streams in real time, outputting threat confidence scores.&#x20;

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Role of Blockchain

\- Model updates are recorded as encrypted hashes on-chain, ensuring version control and consistency.&#x20;

\- Inference results across nodes are validated via consensus mechanisms (e.g., PoS), preventing erroneous judgments from individual nodes from affecting the system.&#x20;

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<summary>Blockchain Execution Layer</summary>

Function&#x20;

The blockchain execution layer stores critical data, executes security policies, and logs operations, serving as the system’s trusted execution environment.&#x20;

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Implementation&#x20;

\- Data Storage: Threat detection results, AI model parameters, and response records are stored on-chain or in decentralized storage (e.g., Arweave), linked via hash indices.&#x20;

\- Smart Contract Logic: Predefines multiple response rules, e.g., automatically pausing transactions and notifying users if the threat score exceeds 80%.&#x20;

\- Consensus Mechanism: Uses efficient consensus (e.g., DPoS or PBFT) to ensure node agreement on threat responses.&#x20;

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AI Interaction&#x20;

\- The AI processing layer passes threat assessments as parameters to smart contracts (e.g., “pause transaction ID: 0x123”).&#x20;

\- Post-execution, smart contracts provide feedback to AI for further optimization (e.g., adjusting response thresholds).&#x20;

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<summary>Community Interaction Layer</summary>

Function&#x20;

The community interaction layer connects users, node operators, and developers through token incentives and governance mechanisms, driving ecosystem growth.&#x20;

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Implementation

\- Incentive Distribution: Smart contracts automatically allocate AETH tokens based on node computational contributions or threat intelligence submissions.&#x20;

\- Governance Voting: The community proposes and votes on system upgrades (e.g., adding new threat detection modules) via an on-chain DAO.&#x20;

\- User Interface: Provides a decentralized application (DApp) for users to view security status, submit intelligence, or subscribe to services.&#x20;

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Role of Blockchain&#x20;

\- The entire process of voting and reward distribution is recorded on-chain, ensuring transparency.&#x20;

\- AETH token circulation and burning are managed via blockchain to maintain economic balance.&#x20;

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<summary>System Workflow</summary>

1\. Data Collection: The data layer captures transactions and contract activities from the blockchain, forwarding them to the AI processing layer.&#x20;

2\. Threat Analysis: Aether Guardian analyzes the data, generates threat reports, and uploads them to the blockchain.&#x20;

3\. Policy Execution: The blockchain execution layer triggers responses via smart contracts (e.g., freezing suspicious accounts).&#x20;

4\. Community Feedback: Nodes validate results, users provide feedback, and the incentive layer distributes rewards while updating models.&#x20;

5\. Iterative Optimization: AI refines itself based on execution feedback and community input, with new model versions recorded on-chain.&#x20;

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Architectural Advantages&#x20;

\- Modularity: Independent layers facilitate upgrades and scalability.&#x20;

\- Decentralization: No single-point dependencies enhance system resilience.&#x20;

\- Efficient Collaboration: Clear division of roles between AI and blockchain ensures seamless data flow.

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