Adaptive Honeypot Strategies: Redefining Security in Cloud Environments

Abstract

The growth in popularity of cloud computing has also invited new forms of security issues that require new forms of defense mechanisms. The Honey Cloud framework is out to address such issues with honeypot technology in the cloud accompanied by decoy systems that attract, monitor, and analyze malicious activities. Honey Cloud provides fortification by defending the main critical infrastructure from an attacker and decreasing the probability of a data breach. It also boasts real-time detection of threats and intelligence regarding this particular adversary's tactics, techniques, and procedures. The framework can be scaled and can be dynamically deployed across different cloud architecture including hybrid and multi-cloud setups. The future enhancements will incorporate AI and machine learning to do predictive threat analysis and automated responses making it more resilient to high-end threats. This offers real-time analytics and interactive dashboards, which provide insight applicable to organizations, thus easing security operations. Besides, legal and ethical considerations will be addressed to provide responsible usage and adherence with global data protection regulations. Hence, Honey Cloud marks a departure in the paradigm of cloud security from traditional defensive mechanisms to proactive intelligence and adaptive frameworks. Such paradigm shift thus promises to motivate future research and development in the ever-evolving threats in the field of cybersecurity.