Comprehensive Analysis of Intrusion Detection System: A Cloud Computing Security System

Abstract

Cloud computing is an innovative technology that recently presented a flexible model in terms of resource usage. Nonetheless, its broad usage has led to extensive security vulnerabilities about the prevention of versatile cyber threats. Intrusion Detection Systems (IDS) can be seen as an essential component in Cloud Computing security since their main mission is to recognize and respond to threats. IDS technologies for cloud computing security is something that this paper seeks to discuss in detail in relation to tradition and advanced forms of the technology. It looks at the IDS frameworks of dual nature based on the integration of ML, DL, and MO algorithms for better accuracy and efficiency. It also assesses the progressed themes, including the blockchain for secure data exchange and trust management. The study also reveals some of the challenges, namely the computational complexity, scalability, and generalization of the dataset that impede the application of IDS in complex cloud environments. A review of available techniques is provided with emphasis on; efficiency and robustness, and their applicability to practical problems. This research outlines specific opportunities, including the development of lightweight real-time IDS solutions and privacy-preserving methodologies, as well as future research areas for building efficient and scalable IDS architectures. This analysis will help researchers and practitioners to understand the direction of enhancing security systems to improve the integrity of cloud computing systems against emerging security threats.