Enhancing Cloud Computing Security Through Artificial Intelligence-Based Architecture

Sundeep Reddy Mamidi
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Abstract

Cloud computing has become an integral part of modern digital infrastructure, offering scalable resources and convenient access to data and services. However, ensuring robust security within cloud environments remains a critical challenge. In this paper, we propose an Artificial Intelligence-Based Architecture (AIBA) designed to enhance cloud computing security. By leveraging the capabilities of artificial intelligence, including machine learning and deep learning, the proposed architecture aims to detect, prevent, and mitigate various security threats in cloud systems. Through a combination of advanced algorithms, real-time monitoring, and adaptive responses, AIBA offers proactive defense mechanisms against cyber attacks, data breaches, and unauthorized access. We discuss the key components and functionalities of AIBA, as well as its potential applications and benefits in strengthening cloud security infrastructure.
通过人工智能架构增强云计算安全性
云计算已成为现代数字基础设施不可或缺的一部分,它提供了可扩展的资源和便捷的数据与服务访问。然而,如何确保云环境中的稳健安全性仍然是一个严峻的挑战。在本文中,我们提出了一种基于人工智能的架构(AIBA),旨在增强云计算的安全性。通过利用人工智能(包括机器学习和深度学习)的能力,该架构旨在检测、预防和减轻云系统中的各种安全威胁。通过结合先进算法、实时监控和自适应响应,AIBA 提供了针对网络攻击、数据泄露和未经授权访问的主动防御机制。我们将讨论 AIBA 的关键组件和功能,以及它在加强云安全基础设施方面的潜在应用和优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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