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.
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Dr. Shafiq Ul Rehman is an experienced educator and professional consultant with a background in curriculum development and educational technology. With over 10 years in the field, Dr. Shafiq has worked with various educational institutions to implement sustainable practices and innovative teaching strategies. Dr. Shafiq received his Ph.D. degree from Universiti Sains Malaysia (USM), Malaysia, in 2017. He was a Postdoctoral Research Fellow at Singapore University of Technology and Design (SUTD), Singapore, from 2017 to 2020. He is currently Acting Dean, College of Information Technology and Chairman Department of Computer Science, Kingdom University, Bahrain. He is also an Assistant Professor with research interests in cybersecurity, artificial intelligence, and the latest emerging IT technologies. He lectures in various Computer Science and IT courses, including developing curriculum and courseware in tandem with current technology trends. He has authored and coauthored more than 50 peer reviewed publications, published in journals, conference proceedings, and book chapters. He supervises Ph.D., postgraduate, and undergraduate students. He also gives talks and training on cybersecurity, artificial intelligence, and the latest emerging IT technologies at various organizations, conferences, seminars, and workshops.
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798337350134
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Taschenbuch. Zustand: Neu. Neuroscience-Enhanced Artificial Intelligence for Cybersecurity | Shafiq Ul Rehman | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337350134 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134450831
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