Docker Based Decentralized Vulnerability Assessment with Port Scanning Powered by Artificial Intelligence
G. Chiranjeevi, R. Abhishek Reddy, R. Shyam, Swati Sah, Rejwan Bin Sulaiman · FMDB Transactions on Sustainable Intelligent Networks · 2024
Decentralized solutions, widely adopted across industries like banking, health- care, and logistics, face persistent security concerns from potential threats. This study introduces a novel decentralized vulnerability assessment using GPT-3, an artificial intelligence (AI) technology. Employing Dockerized containers for disinfecting environments and creating unique connections to the AI API service enhances system responsiveness. AI algorithms, specifically GPT-3, conduct comprehensive network scans to identify security flaws. Findings are securely distributed to network nodes, fortifying the system’s defence. This departure from centralized control and traditional security audits marks a significant advancement in securing decentralized systems. AI-enabled real-time monitoring facilitates swift responses to security issues, reducing breach risks and aiding effective resource management. Encouraging results from controlled system analysis, focusing on GPT-3 vulnerabilities, highlight the integration of Dockerized containers for enhanced system efficiency. This work lays the foundation for further research, emphasizing the potential of decentralized systems for rigorous security assessments.