Developing AI-Powered Intrusion Detection System for Cloud Infrastructure

Abstract

Cloud computing has become an integral part of modern businesses and provides an avalanche of benefits such as flexibility, scalability, and cost-effectiveness.This has necessitated the adoption of cloud computing to support business structures, processes, procedures, and workflow operations.Nonetheless, the whooping reliance on cloud services to buffer business operations is crippled by cybersecurity threats since the traditional intrusion detection systems (IDS) scuffle with adapting to the dynamic and complex nature of cloud environments resulting in flaws and bugs in threat detection and response, therefore, calling for rapid establishment of the modern-day powerful security measures.Organizations want to secure their digital environment to avoid data breaches and cybercrime.Cyber-attacks have grown in sophistication and increased in number.It is a tremendous aspect to secure the cloud environment through detecting, protecting, and preventing cyber-attacks.This research paper trickles down into the development of an AI-powered Intrusion Detection System (IDS), which addresses the cloud infrastructure environment in relation to cybersecurity.The primary target focuses on using machine learning techniques to fortify cloud security.This can be done through an in-depth analysis of network traffic patterns.This helps identify unusual behaviors that indicate potential attacks on cloud servers and resources.The core approach to be utilized is the unsupervised learning methodology.The unsupervised learning methodologies focus on autoencoders, which helps boost anomaly detection accuracy within the cloud infrastructure.This research aims to demonstrate the efficacy of the proposed Intrusion and Detection System (IDS) in preventing and protecting cloud infrastructure against various cybercrimes.The integration of AI-driven anomaly detection mechanisms into the fabric of cloud security protocols can enhance and harden cloud security.By hardening the cloud infrastructure, it will remain resilient and reliable in case of any cybercrime.Furthermore, this paper acts as a roadmap on how machine learning can enhance cloud security in a cloud environment by providing insights and innovative ideas on mitigating all the threats and vulnerabilities of cybercrme in the digital economy.

Topics & Concepts