IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v5y2024i1p63-72id166.html
   My bibliography  Save this article

Enhancing Cloud Computing Security Through Artificial Intelligence-Based Architecture

Author

Listed:
  • Sundeep Reddy Mamidi

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.

Suggested Citation

  • Sundeep Reddy Mamidi, 2024. "Enhancing Cloud Computing Security Through Artificial Intelligence-Based Architecture," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 5(1), pages 63-72.
    • Handle: RePEc:das:njaigs:v:5:y:2024:i:1:p:63-72:id:166
    as

    Download full text from publisher

    File URL: https://newjaigs.com/index.php/JAIGS/article/view/166
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:das:njaigs:v:5:y:2024:i:1:p:63-72:id:166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Open Knowledge (email available below). General contact details of provider: https://newjaigs.com/index.php/JAIGS/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.