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Quantum-Augmented Self-Adaptive Networks (QASANs): A Paradigm Shift for Information Assurance in the Post AI-Quantum Era

Yogesh Malhotra

Published Jan 1, 2025• 0 citations
Publisher
DOI
10.2139/ssrn.5279862

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Abstract: This chapter critically examines the profound impact of quantum computing on the landscape of digital security, signaling a paradigm shift in how encryption and cybersecurity are approached in the quantum era. Quantum computing, characterized by its ability to solve complex problems at unprecedented speeds, poses both challenges and opportunities for current encryption methods. It threatens to render traditional cryptographic schemes obsolete while simultaneously offering groundbreaking approaches to secure digital communications through quantum-resistant cryptography and quantum key distribution (QKD). This exploration extends beyond encryption, touching upon quantum computing's synergies with artificial intelligence (AI), its role in advancing nucleic acid research, and its potential to revolutionize computational models across various domains. Furthermore, the chapter addresses the implications of quantum computing for energy storage solutions and the security of next-generation telecommunication networks, underscoring the technology's interdisciplinary applications. Through a comprehensive analysis of recent research and developments, this chapter provides insights into the future of digital security in the quantum era, emphasizing the need for proactive adaptation and the development of new security paradigms. Keywords/Index Terms: Quantum Computing,Digital Security,Encryption,Cybersecurity,Quantum Era,Quantum-Resistant Cryptography,Quantum Key Distribution (QKD),Artificial Intelligence (AI),Computational Models,Energy Storage,Telecommunication Security,Paradigm Shift,Cybersecurity Challenges and Quantum Advancements.
The 6G networks and quantum computing are converging, and the security must be changed by a paradigm shift. Here, it is suggested that a new Hybrid Quantum-AI Encryption Offloading (HQAEO) framework should be developed to provide secure 6G. HQAEO is synergistic and combines Post-Quantum Cryptography (PQC), AI-based threat detection, and Mobile Edge Computing (MEC). A smart algorithm gives the best separation of encryption between user equipment and edge servers, which reduces a weighted cost of latency and energy. An AI model that runs on the edge can support dynamic and adaptive security too, whereas a quantumresistant key mechanism will provide secure key exchange. Simulations show that HQAEO causes 32.7 percent and 41.3 percent latency and energy savings over local PQC, and a 28 percent improvement in zero-day attacks coverage over static protocols.