Description
As cyber threats grow in complexity and sophistication, traditional defense mechanisms often struggle to keep pace with evolving attacks. Neuroscience-inspired artificial intelligence (AI) offers a groundbreaking approach by mimicking the adaptive processes of the human brain to enhance cybersecurity systems. By integrating principles such as pattern recognition and cognitive decision-making, these advanced AI models can detect anomalies and respond dynamically in real time. Neuroscience-driven AI architecture can revolutionize cybersecurity, bridging the gap between human-like intelligence and machine efficiency to create resilient, proactive defense frameworks. Neuroscience-Enhanced Artificial Intelligence for Cybersecurity explores how cognitive processes and brain-inspired models can revolutionize AI systems to defend against cyber threats. This book examines how brain-inspired models can enhance cybersecurity. Covering topics such as neuroscience, cybersecurity, and AI, this book is an excellent resource for researchers, cybersecurity professionals, academicians, and government professionals.
- Author: Ul Rehman, Shafiq
- Publisher: IGI Global
- Published: 2025-12-30
- Pages: 386
- ISBN-13: 9798337350141
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