Deadlyflux
  • Introduction
    • Abstract
    • Problem Statement
    • Vision
  • Layers of Architecture
    • Overview
    • Layers of Architecture
  • Key Features
    • Key Features
  • Security Framework
    • AI-Powered Security Mechanisms
    • Quantum-Enhanced Cryptographic Defense
    • Incident Response Workflow
  • Use Cases
  • Development Roadmap
  • Conclusion
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  • Dynamic Vulnerability Analysis:
  • Predictive Modeling:
  1. Security Framework

AI-Powered Security Mechanisms

Dynamic Vulnerability Analysis:

AI scans for contract vulnerabilities such as reentrancy attacks, timestamp dependencies, and overflow/underflow errors.

Algorithm: \(\text{Vuln Score} = \sum_{i=1}^n w_i \cdot \text{Risk}_i\), where \(w_i\) are risk weights.

Predictive Modeling:

Machine learning models analyze historical data to predict future exploit patterns.

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Last updated 2 months ago