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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 4, APRIL 2024

Advancements in AI-Based Security and Threat Detection

Muneeruddin Mohammed, Abdul Junaid Mohammed, Ubaid Ul Mannan Mohammed, Zeeshan Ahmed Mohammed

DOI: 10.17148/IJARCCE.2024.13459

Abstract: With the snowballing intricacy and erudition of cyber intimidations, traditional security measures have become insufficient to combat modern cybersecurity challenges. As a result, the amalgamation of artificial intelligence (AI) into security systems has arisen as a promising tactic to boost threat detection and mitigation. This article investigates the advancements in AI-based security and threat detection, examining various AI techniques, their applications in cybersecurity, challenges, and future directions. By leveraging AI, organizations can improve their ability to successfully identify, evaluate, and counteract cyberthreats, enhancing overall security posture

Keywords: AI, cybersecurity, threat detection, machine learning, deep learning, neural networks, anomaly detection, security systems.

How to Cite:

[1] Muneeruddin Mohammed, Abdul Junaid Mohammed, Ubaid Ul Mannan Mohammed, Zeeshan Ahmed Mohammed, “Advancements in AI-Based Security and Threat Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13459