A Comprehensive Survey: Integrated AI-Driven Intrusion Detection and Trust-Aware Resource Optimization in Cloud Computing

Cloud computing has evolved into the core of today's digital world by offering flexible, on-demand computing power for businesses, healthcare, IoT application and distributed services. On the other hand, rapid cloud implementation has introduced security and performance challenges like Cyber Attacks, Distributed Denial-of-Services (DDoS) attacks, threats and inefficient resource utilization. Intrusion Detection Systems (IDS) and load balancing separately failed to enhance trust, adaptability and real-time attack. Most recent research combines Artificial Intelligence (AI), federated learning, block chain, Software-Defined Networking (SDN), trust aware models to improve detection accuracy when optimizing workload distribution. This survey analyses modernization in attack detection systems and trust based optimal load balancing in cloud platforms. This analyses existing method limitation, research gaps and future research towards secure, intelligent and dynamic cloud orchestration systems.