System Architecture
System Architecture
DecentraScan comprises several key components:
AI Engine: Utilizes machine learning and natural language processing to analyze smart contracts.
Blockchain Integration Module: Interfaces with the Ethereum blockchain to fetch and monitor contracts.
User Interface: Provides an intuitive dashboard for users to interact with the system.
Reporting and Notification System: Generates detailed audit reports and alerts users of critical issues.
AI Engine
The AI Engine is the core of DecentraScan, incorporating various models and algorithms:
Static Analysis Module: Scans the contract code for common vulnerabilities such as reentrancy, overflow/underflow, and unauthorized access.
Dynamic Analysis Module: Simulates contract execution to detect runtime issues.
Natural Language Processing (NLP) Module: Analyzes the contract documentation to ensure consistency and correctness with the code.
Blockchain Integration Module
This module ensures seamless interaction with the Ethereum blockchain:
Contract Fetching: Retrieves smart contracts from the blockchain based on user input or automatic scanning.
Event Monitoring: Tracks contract interactions and state changes in real-time.
User Interface
The user interface is designed for ease of use and functionality:
Dashboard: Displays contract analysis results, audit history, and vulnerability status.
Code Editor: Allows developers to input and edit contract code directly within the platform.
Report Viewer: Provides access to detailed audit reports and suggested fixes.
Reporting and Notification System
Generates and disseminates audit reports:
Audit Reports: Detailed documentation of identified vulnerabilities, potential risks, and recommended remediation.
Notifications: Alerts users via email or SMS about critical vulnerabilities or changes in contract status.
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