Bibliographic Details
| Title: |
Role of artificial neural networks in fortifying cybersecurity: A review. |
| Authors: |
Yadav, Avantika, Aggarwal, Vishesh, Bansal, Sulabh |
| Source: |
AIP Conference Proceedings; 2025, Vol. 3253 Issue 1, p1-13, 13p |
| Subject Terms: |
Artificial neural networks, Digital technology, Cyberterrorism, Anomaly detection (Computer security), Internet security, Intrusion detection systems (Computer security) |
| Abstract: |
The paper explores the indispensable role of Artificial Neural Networks (ANNs) in bolstering cybersecurity, with a particular emphasis on three domains: intrusion detection, malware classification, and anomaly detection. ANNs, renowned for their capacity to distinguish intricate patterns, are at the forefront of revolutionizing cyber defence mechanisms. Through an exhaustive examination of recent advancements and illustrative case studies, this paper underscores the efficacy of ANNs in countering evolving cyber threats. Moreover, it illuminates their broader implications in the realm of digital security, including applications in pattern recognition, speech analysis, and image identification. In an era marked by increasing digital vulnerabilities, this paper underscores the significance of ANNs as a powerful tool for fortifying our cyber infrastructure and protecting sensitive data. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |