Honeypot Implementation in Cloud Environments: Challenges, Opportunities, and Security Enhancement

Abstract

This project explores the implementation of honeypots in cloud environments, examining both challenges and opportunities for enhancing security. Honeypots are cybersecurity tools that lure attackers, allowing for detailed analysis of attack behaviors. In cloud environments, the dynamic nature of resources and the shared infrastructure pose unique challenges for honeypot deployment. This study focuses on optimizing honeypot configurations to adapt to cloud-specific limitations while maximizing security benefits. We developed a honeypot framework integrated with cloud services (AWS and Azure), including a real-time threat analysis module and offline deployment capabilities. Offline testing was prioritized to ensure that honeypot functionality remains robust without external network dependencies. Results demonstrated effective threat detection and resilience across various simulated attack scenarios. This research contributes to a flexible, scalable honeypot model, advancing the defensive strategies within cloud-based cybersecurity.