A comprehensive framework for threat intelligence exchange in cloud communities

Cloud computing has dramatically transformed how organisations handle data, offering scalability and flexibility, but it also brings about significant cybersecurity challenges. Sharing threat intelligence within cloud communities is crucial for mitigating the risks, yet existing methods often struggle due to issues like trust, interoperability, and privacy. This research introduces a framework for improving threat intelligence sharing among cloud service providers using blockchain, artificial intelligence, and federated learning technologies. By thoroughly examining current practices and conducting detailed case studies, the framework is shown to enhance collaboration and bolster the security of cloud environments. The results suggest that overcoming the primary obstacles can achieve a secure and scalable solution that significantly improves cybersecurity resilience across cloud platforms.