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September 10, 2025International Journal of Computational and Experimental Science and EngineeringOpen Access

Neuromorphic Computing for Real-Time Network Threat Detection: A Paradigm Shift in Cybersecurity Architecture

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Authors

AMA. S. Manjunath

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Overview

This paradigm shift enhances network threat detection using biological mechanisms, indicating improved effectiveness in cybersecurity.

Key Points

  • Neuromorphic computing significantly enhances network threat detection, enabling faster response to cyber threats.
  • Activity-triggered models minimize energy consumption while ensuring microsecond response times crucial for network security.
  • Temporal spike-based processing improves detection of sophisticated attacks by mimicking biological neural behavior.
  • Fusion with access governance strengthens identity verification protocols, improving security management across networks.

Cite This Study

A. S. Manjunath (2025) studied this question.

synapsesocial.com/papers/68c1dd9254b1d3bfb60fbed5https://doi.org/10.22399/ijcesen.3811
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