AI-Enhanced Cybersecurity for Large-Scale Network Protection

Authors: Ravi Kumar Perumallapalli

Country: USA

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Abstract: Large-scale networks form the foundation of modern digital infrastructure, hence maintaining their security has grown more difficult. Sophisticated cyber threats can no longer be defeated by traditional cybersecurity methods. The integration of artificial intelligence (AI) with cybersecurity is examined in this study, with an emphasis on how AI-enhanced systems might strengthen network security. In comparison to traditional methods, artificial intelligence (AI) technologies, especially machine learning, can detect and mitigate known and new threats in real-time, offering a more responsive and adaptive protection mechanism.To enhance threat detection and response, AI-based cybersecurity systems make use of intrusion detection frameworks and data mining approaches. These techniques are particularly helpful in stopping network-based attacks and identifying irregularities. Machine learning is a crucial technique for network security in the future since it has also demonstrated promise in fraud detection and intrusion detection.A shift to more sophisticated, AI-driven security solutions is required due to the increasing sophistication of cyberattacks, as indicated by worldwide threat assessments. Large-scale networks can become more resilient to changing cyber threats by implementing AI-enhanced cybersecurity frameworks, as demonstrated in this research.

Keywords: AI in Cybersecurity, Network Protection, Threat Detection, Machine Learning for Cybersecurity, Cyber Threat Intelligence, Automated Response Systems

Paper Id: 231505

Published On: 2014-01-06

Published In: Volume 2, Issue 1, January-February 2014

Cite This: AI-Enhanced Cybersecurity for Large-Scale Network Protection - Ravi Kumar Perumallapalli - IJIRMPS Volume 2, Issue 1, January-February 2014.

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