IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v4y2022i1id12482.html

The Digital Shield: An Analysis of AI's Role in Protecting US Financial Infrastructure from Cyberattack

Author

Listed:
  • Mohammad Kowshik Alam

    (Master of Science in Business Analytics, Grand Canyon University, Arizona, USA)

  • Md Lutfur Rahman Fahad

    (Master of Science in Information Systems, Pacific State University, Los Angeles, USA)

Abstract

The complexity of cyberattacks is a consistent challenge to the stability and credibility of financial institutions in the United States. Increasing vulnerability of financial systems to cyber-based criminal activities, including fraud, data breach and identity theft, has been observed as a result of the rapid pace of digital transformation. This study examines how data analytics facilitated by Artificial Intelligence (AI) can improve cybersecurity conditions in financial institutions by forecasting, identifying, and addressing possible threats on a real-time basis. I used two data sets to complete this research: the IEEE-CIS Fraud Detection dataset, which includes anonymized transactional information about the U.S. financial systems, and the Cyber Security Indexes dataset, which gives the world information about cybersecurity preparedness and the exposure. To train and test AI models of Random Forest, XGBoost, and Neural Networks, the IEEE-CIS dataset was used to find out the fraudulent transactions and test their accuracy of detection. Conversely, the dataset of Cyber Security Indexes was processed to compare the cybersecurity preparedness of the United States to the situation in other nations and investigate the relationships between cyber exposure, country preparedness, and digital development. The combined analysis reveals that AI-based models can be useful to identify fraudulent activities with high precision and recall and minimize financial loss and operational risks. The evidence shows that countries that have a better framework of cybersecurity governance and higher levels of Global Cybersecurity Index (GCI) experience less financial cybercrime exposure. This paper has reached the conclusion that AI-based analytics coupled with a strong cybersecurity framework forms a holistic protection scheme in the financial sector, which is more resilient, compliant with regulations, and trusted by the population. These findings highlight the potential of AI to transform the current state in empowering micro-level financial defenses as well as macro-level national cybersecurity infrastructures.

Suggested Citation

  • Mohammad Kowshik Alam & Md Lutfur Rahman Fahad, 2022. "The Digital Shield: An Analysis of AI's Role in Protecting US Financial Infrastructure from Cyberattack," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 4(1), pages 112-133, January.
  • Handle: RePEc:alk:jcsts0:v:4:y:2022:i:1:id:12482
    DOI: 10.32996/jcsts.2022.4.1.14
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/12482
    File Function: Abstract page
    Download Restriction: no

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/12482/11163
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32996/jcsts.2022.4.1.14?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    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:alk:jcsts0:v:4:y:2022:i:1:id:12482. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    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.