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International Journal For Multidisciplinary Research

Quantum Hacking: Challenges and Countermeasures

Mohammad Suhail -, Mohd Kaif -

Published Oct 28, 2023• 1 citation
Publisher

Abstract

This review paper provides a comprehensive examination of quantum hacking, its underlying principles, and the vulnerabilities it exploits. As quantum hacking continually evolves, so too must our countermeasures. This review paper presents a balanced assessment of the current state of quantum hacking and the strategies for defending against it.

DOI
10.36948/ijfmr.2023.v05i05.8046

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This review paper provides a comprehensive examination of quantum hacking, its underlying principles, and the vulnerabilities it exploits. As quantum hacking continually evolves, so too must our countermeasures. This review paper presents a balanced assessment of the current state of quantum hacking and the strategies for defending against it.
Quantum key distribution (QKD) is widely regarded as a highly secure quantum encryption approach since it applies theoretical principles of quantum mechanics as a medium of security, unlike classical encryption processes that rely on complex mathematics. However, practical QKD systems are vulnerable due to imperfect photon source hardware, communication channel, and detector implementation. These hardware imperfections open side channels that an adversary can exploit without violating principles of quantum mechanics. This review provides a comprehensive overview of the current QKD protocols, quantum hacking strategies and their operating principles, vulnerable hardware components and their mitigation techniques. This paper further investigates how state-of-the-art paradigms based on artificial intelligence (AI) and machine learning (ML), along with key subfields—such as deep learning (DL), deep reinforcement learning (DRL), and quantum machine learning (QML)—are reshaping the domain. In particular, this paper analyzes their dual roles as enablers of sophisticated attacks and as instruments for attack detection and mitigation. By jointly addressing the challenges in quantum communication and adaptive learning, as well as attack and detection architectures, this survey elucidates both the capabilities and the limitations of contemporary attack-detection mechanisms in the field. This survey seeks to establish a unified framework that conceptually integrates physical-layer quantum hacking with AI-/ML-based security, emphasizing their dual function as both an intelligent defensive layer and a potential tool for advanced threats.
Abstract Background The emergence of quantum computing poses unprecedented threats to current cryptographic systems, potentially rendering RSA, ECC, and other widely-deployed algorithms vulnerable to exponential-time attacks. Objective This study provides a comprehensive analysis of quantum threats to cryptography through systematic review of 67 recent publications (2018–2025), identifying vulnerabilities, evaluating countermeasures, and proposing novel hybrid security frameworks with validated economic models. Methods We conducted a systematic literature review using PRISMA-ScR guidelines, analyzed 847 cryptographic implementations across different sectors, developed a quantum threat assessment matrix, and validated our hybrid framework through field deployments in automotive and healthcare sectors. Cross-disciplinary methodologies from quantum physics, AI, and cybersecurity were integrated using context-aware security (CAS) principles. Results Our analysis reveals three critical threat vectors: immediate harvest-now-decrypt-later (HNDL) attacks affecting 67% of surveyed organizations, medium-term RSA/ECC vulnerabilities projected for 2030–2035, and long-term post-quantum transition challenges. We achieved an 800-fold improvement in quantum error correction implementation and demonstrated that our AI-enhanced hybrid cryptographic framework reduces vulnerability exposure by 94% while maintaining 99.4% system uptime. Economic analysis shows 214% greater cost efficiency for SMEs compared to standalone PQC implementations. Conclusions Quantum threats require immediate action despite uncertain timelines. Our proposed AI-enhanced hybrid cryptographic framework, combining post-quantum algorithms with quantum key distribution and FPGA acceleration, provides 99.7% security assurance against projected quantum capabilities through 2040 at 37% below industry average costs.
An overview is given of the state-of-the-art research into secure communication based on quantum cryptography. The present security model together with its assumptions, strengths and weaknesses is discussed. Recent experimental progress and remaining challenges are surveyed as are the latest developments in quantum hacking and countermeasures. Secure communication is crucial in the Internet Age, and quantum mechanics stands poised to revolutionize cryptography as we know it today. In this Review, we introduce the motivation and the current state of the art of research in quantum cryptography. In particular, we discuss the present security model together with its assumptions, strengths and weaknesses. After briefly introducing recent experimental progress and challenges, we survey the latest developments in quantum hacking and countermeasures against it.