DETECTING CYBER SECURITY THREATS ON CLOUD COMPUTING NETWORKS OF INTELLIGENT COMPUTING

Cloud computing (CC) has gained popularity across a number of industries because of its intrinsic qualities, including scalability and adaptability. But even with these benefits, cloud providers continue to face serious security challenges. Insider attacks, data breaches, and illegal access are among the new vulnerabilities brought about by CC. Attackers are drawn to cloud systems because of their common infrastructure. Society is becoming increasingly reliant on complex and connected cyber systems to carry out everyday tasks. The current study recommends a new cyber security reference model for the cloud system, which consists of separate cloud computing layers. The virtualization and service layers, as well as the crucial elements for ensuring cloud computing safety, are not thoroughly covered by the reference models of cloud computing security that are currently available. Additionally, the social media IoT sensor layer, which gathers messages typed by attackers to launch cyberattacks on the infrastructure of the cloud, and the cyber resilience issues of cloud computing are not taken into account. In order to provide cloud system security, this article also explores the cyber security issues with models of cloud computing and creates an attack framework. Additionally, the integration of threat intelligence systems powered by artificial intelligence (AI) allows for comprehensive understanding of the cyber threat landscape, promoting proactive mitigation strategies and well-informed decision-making to safeguard critical assets and infrastructure in cloud environments. As businesses navigate the dynamic and complex world of cybersecurity, using AI for proactive threat identification is a crucial strategy for bolstering defenses and lowering risks in CC ecosystems.