# DecentraScan Architecture #### System Design DecentraScan is designed with a modular architecture consisting of the following components: * **User Interface (UI):** Provides an intuitive interface for users to upload and manage smart contracts. * **Backend Server:** Handles processing and coordination between different modules. * **AI Engine:** Performs static and dynamic analysis to detect vulnerabilities. * **Database:** Stores scanned contract data, analysis results, and reports. #### AI and Machine Learning Integration Our AI engine utilizes machine learning models trained on vast datasets of known vulnerabilities and smart contract behaviors. This allows DecentraScan to identify patterns and anomalies indicative of security issues. #### Smart Contract Analysis Engine The analysis engine comprises several sub-modules: * **Static Analysis:** Examines the contract code for syntax errors, coding standards, and known vulnerability patterns. * **Dynamic Analysis:** Simulates the execution of the contract to identify runtime vulnerabilities. * **Formal Verification:** Uses mathematical methods to prove the correctness of the contract logic. #### Security and Privacy Measures DecentraScan employs robust security protocols to protect user data and ensure the confidentiality of scanned contracts. All data is encrypted and access is strictly controlled. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://decentrascan.gitbook.io/decentrascan/decentrascan-architecture.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.