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              <text>Rajendran, Rajesh Kanna; Mahalakshmi, S.B.; Mohana Priya, T.; Sakkaravarthi, R.; Poorana Senthilkumar, S.; Muthusamy, A.</text>
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              <text>AI-Powered Threat Detection and Response for Future 6G Networks</text>
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              <text>6G Networks and AI-Driven Cybersecurity;pp.281-302</text>
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              <text>Rajendran R.K., Christ University, Bangalore, India; Mahalakshmi S.B., Coimbatore Institute of Technology, Coimbatore, India; Mohana Priya T., Christ University, Bangalore, India; Sakkaravarthi R., Vanier College, Canada; Poorana Senthilkumar S., Dr. N.G.P. Arts and Science College, India; Muthusamy A., Kongu Engineering College, India</text>
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              <text>As 6G networks come into existence, there will be ultra-low latency, high bandwidth, seamless integration of billions of devices, and a revolution of connectivity. But with these great strides, new challenges about the securing of these systems against very sophisticated cyber attacks have come up. This book discusses how AI can benefit the 6G system to detect and respond threats better. Through the utilization of AI algorithms, machine learning, and deep learning, 6G networks will autonomously identify and mitigate security risks in real time while adapting to dynamic and everevolving attack vectors. AI systems can monitor network traffic in real-time, analyze anomalies, and predict possible vulnerabilities before they are exploited, hence reducing the detection-to-mitigation cycle. As 6G networks become more complex and pervasive, AI will become an indispensable component in maintaining security and enabling a trustworthy digital ecosystem, thereby becoming a core component of the future network defense.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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              <text>ISBN: 979-833730570-7; 979-833730568-4;</text>
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