Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking
Jagatheesaperumal, Senthil Kumar Ali, Shehzad Alotaibi, Aziz Muhammad, Khan De Albuquerque, Victor Hugo C. Guizani, Mohsen
Jagatheesaperumal, Senthil Kumar
Ali, Shehzad
Alotaibi, Aziz
Muhammad, Khan
De Albuquerque, Victor Hugo C.
Guizani, Mohsen
Supervisor
Department
Machine Learning
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Type
Journal article
Date
2025
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Language
English
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Abstract
The rapid convergence of generative AI (GAI), neuro-symbolic reasoning, and quantum computing has redefined secure communication and networking. Owing to the massive amount of data, the need for extensive computing power, and the necessity to find and mitigate threats in real time, traditional security measures cannot keep up with changing cyber threats as the communication infrastructure becomes more complicated. Therefore, this paper investigates the potential of a GAI-enhanced neuro-symbolic quantum framework for building security systems that are strong, scalable, and self-sufficient. This method improves threat detection, encryption, and real-time adversarial defense by combining symbolic reasoning for logic, deep learning for pattern recognition, and quantum intelligence to accelerate computations. This work has made progress in creating the next generation of secure networks that can automatically and adaptively make security decisions in real-time, providing robust protection in communication environments that change over time.
Citation
S. K. Jagatheesaperumal, S. Ali, A. Alotaibi, K. Muhammad, V. H. C. De Albuquerque and M. Guizani, "Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking," in IEEE Network, doi: 10.1109/MNET.2025.3579680
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IEEE Network
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Keywords
Generative AI, Neuro-symbolic, Secure communications, Intelligent networks, Multi-agents, Quantum AI
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Publisher
IEEE