Quantum computing introduces a new class of cyber threats that challenge existing detection paradigms. While significant research has focused on post-quantum cryptography (PQC) and the long-term risk of cryptographic breakage, far less attention has been given to the detection of quantum-enabled attacks during the pre-cryptographically-relevant quantum (pre-CRQC) era. Current intrusion detection systems, network monitors, and cryptographic telemetry tools lack the conceptual models and operational indicators needed to identify adversaries who leverage quantum acceleration, quantum-optimized reconnaissance, or hybrid-mode downgrade strategies. This paper proposes QEADT-1, a systems-level taxonomy for detecting or monitoring quantum-enabled attack patterns against classical and PQC-transitioning infrastructure during the pre-CRQC era, addressing a gap in the literature, which has focused predominantly on prevention through PQC migration and on QKD or quantum-hardware concerns rather than operational detection. We classify six major attack classes, identify their underlying mechanisms, and map each to proposed observable indicators and required telemetry sources. A SOC-oriented detection matrix is introduced to operationalize the taxonomy as a synthesized detection model, followed by a systems architecture for quantum-attack monitoring that is designed to integrate with ongoing PQC migration. This work provides a foundational framework for organizations seeking to detect quantum-enabled threats before cryptographically relevant quantum computers emerge.
Quantum computing introduces a new class of cyber threats that challenge existing detection paradigms. While significant research has focused on post-quantum cryptography (PQC) and the long-term risk of cryptographic breakage, far less attention has been given to the detection of quantum-enabled attacks during the pre-cryptographically-relevant quantum (pre-CRQC) era. Current intrusion detection systems, network monitors, and cryptographic telemetry tools lack the conceptual models and operational indicators needed to identify adversaries who leverage quantum acceleration, quantum-optimized reconnaissance, or hybrid-mode downgrade strategies. This paper proposes QEADT-1, a systems-level taxonomy for detecting or monitoring quantum-enabled attack patterns against classical and PQC-transitioning infrastructure during the pre-CRQC era, addressing a gap in the literature, which has focused predominantly on prevention through PQC migration and on QKD or quantum-hardware concerns rather than operational detection. We classify six major attack classes, identify their underlying mechanisms, and map each to proposed observable indicators and required telemetry sources. A SOC-oriented detection matrix is introduced to operationalize the taxonomy as a synthesized detection model, followed by a systems architecture for quantum-attack monitoring that is designed to integrate with ongoing PQC migration. This work provides a foundational framework for organizations seeking to detect quantum-enabled threats before cryptographically relevant quantum computers emerge.
The rapid advancement of quantum computing presents both unprecedented opportunities and significant threats to modern cybersecurity. As quantum processors progress toward practical large-scale deployment, widely used cryptographic systems, particularly RSA, ECC, and other public-key mechanisms, face the risk of becoming obsolete. This review examines how quantum technologies can be strategically leveraged to enhance cybersecurity while simultaneously addressing the vulnerabilities introduced by quantum-enabled attacks. A systematic analysis of 35-40 peer-reviewed studies was conducted to evaluate developments in post-quantum cryptography, quantum-resistant security protocols, Quantum Key Distribution (QKD), and hybrid classical–quantum defense architectures. The findings reveal a rapidly evolving research landscape focused on resilient lattice-based cryptography, scalable quantum-safe communication frameworks, and early-stage quantum machine learning applications for intrusion detection. The review highlights both the promise and current limitations of quantum-driven security solutions, including hardware constraints, integration challenges, and the need for global standardization. The study underscores the urgency for governments, industries, and researchers to adopt quantum-ready cybersecurity strategies and accelerate the transition to quantum-resilient infrastructures.
The emergence of quantum computing represents one of the most significant paradigm shifts in the history of computation, with profound implications for offensive security and cyber warfare. This comprehensive research paper presents a systematic analysis of quantum-enabled offensive capabilities, novel attack vectors targeting quantum systems themselves, and the evolving threat landscape at the intersection of quantum computing and artificial intelligence. We introduce the Q-THREAT Framework, a novel temporal risk assessment model that quantifies the "Harvest Now, Decrypt Later" threat across different data confidentiality lifetimes and sectoral exposures. This research synthesizes and categorizes recently documented attack vectors including quantum Rowhammer exploits, timing-based side-channel vulnerabilities in cloud quantum services, and multi-tenant quantum system intrusions. Recent research demonstrates that current quantum cloud platforms from major providers including IBM, Rigetti, and others exhibit significant security vulnerabilities that could be exploited by adversaries to compromise computational integrity, extract sensitive circuit information, and disrupt quantum computations. Furthermore, we analyze the convergence of quantum computing and artificial intelligence as a force multiplier for offensive cyber operations. We present evidence that quantum machine learning algorithms can demonstrate competitive or superior performance in certain cybersecurity applications compared to classical approaches in controlled experimental settings, with recent studies reporting high accuracies in tasks such as malware detection and intrusion detection on benchmark datasets. Our analysis of nation-state quantum programs reveals an accelerating global quantum arms race with significant implications for national security. Based on our findings, we propose a comprehensive defensive framework incorporating post-quantum cryptographic standards, crypto-agility principles, and quantum-safe architectural patterns. This research contributes to the nascent field of quantum cybersecurity by establishing foundational threat models, identifying critical research gaps, and providing actionable recommendations for organizations preparing for the quantum era.
The advent of cryptographically relevant quantum computers (CRQCs) poses a fundamental threat to public-key cryptography securing modern digital communications. The most immediate danger is not direct decryption but the harvest-now-decrypt-later (HNDL) attack, wherein adversaries passively collect and archive encrypted traffic today for retrospective decryption once a CRQC becomes operational. This threat is structurally difficult to counter because the collection phase generates no host- or account-level signals detectable by conventional intrusion-detection systems.Simultaneously, migration to NIST-standardized post-quantum cryptography (PQC) specifically ML-KEM (FIPS 203), ML-DSA (FIPS 204), and SLH-DSA (FIPS 205) introduces new vulnerabilities, including chosen-ciphertext side-channel attacks, fault-injection attacks, and protocol downgrade attacks arising during hybrid deployment periods.Existing security tooling addresses cryptographic inventory, encrypted-traffic anomaly detection, and PQC readiness as isolated problems, leaving a critical operational gap. To address this, we propose QCAD (Quantum Cryptographic Attack Detection), a unified multi-plane detection framework integrating four complementary detection planes: (A) flow-metadata behavioral analytics targeting HNDL collection indicators; (B) host- and protocol-level telemetry for PQC implementation flaws and downgrade attacks; (C) continuous crypto-agility monitoring with per-asset Mosca-inequality risk scoring; and (D) quantum-vulnerable deception canaries. These planes feed a unified correlation layer that maps observations to MITRE ATT&CK techniques and produces risk-ranked alerts.Evaluation against synthetic HNDL and PQC-attack benchmarks demonstrates that cross-plane fusion achieves a recall of 0.97 at a 5% false-positive rate (F1 = 0.90, ROC-AUC = 0.99), substantially outperforming any individual plane, confirming that no single observable captures all attack families.A key boundary condition remains: HNDL detection is inherently a probabilistic behavioral-inference problem, and interception occurring on transit infrastructure beyond the defender's perimeter may remain undetectable regardless of sensor deployment.
The advent of quantum computing poses a significant threat to the cryptographic foundations that secure critical infrastructure information systems, including energy grids, transportation networks, healthcare systems, and financial services. Conventional public-key cryptographic schemes such as RSA and elliptic curve cryptography are vulnerable to quantum attacks, necessitating a paradigm shift toward post-quantum secure design principles. This review paper examines emerging post-quantum cryptographic frameworks and their role in strengthening detection and mitigation mechanisms within critical infrastructure environments. It systematically analyzes post-quantum algorithms, hybrid cryptographic models, and quantum-resilient authentication schemes, emphasizing their integration into intrusion detection systems, anomaly detection frameworks, and secure communication protocols. Additionally, the paper explores quantum-aware threat models, resilience-oriented system architectures, and adaptive mitigation strategies that enhance system survivability against both classical and quantum-enabled cyber threats. Key challenges including computational overhead, legacy system compatibility, scalability, and regulatory compliance are critically discussed, alongside ongoing standardization efforts and implementation case studies. By synthesizing current research and industry practices, this review provides a comprehensive roadmap for designing, deploying, and managing post-quantum secure detection and mitigation frameworks that ensure the long-term resilience, reliability, and trustworthiness of critical infrastructure information systems in the quantum era.
The rapid advancements in quantum computing pose significant threats to traditional cryptographic systems, which are foundational to securing modern digital infrastructure. Cryptosystems like RSA and ECC, currently relied upon for secure communications, are vulnerable to quantum attacks, necessitating the development of post-quantum cryptography (PQC). The proposed methodology in this paper focuses on safeguarding critical infrastructure from quantum-based cyberattacks by leveraging PQC. The framework integrates several key strategies: hybrid cryptography, which combines classical and post-quantum algorithms to ensure security even as quantum threats evolve; quantum key distribution (QKD), ensuring secure communication by detecting any interception attempts; and post-quantum algorithms designed to resist quantum computing capabilities. The methodology also includes a robust security layer with incident response and threat monitoring systems to detect anomalies and initiate rapid responses to potential attacks. This holistic approach secures vital sectors like healthcare, energy, and telecommunications by future-proofing cryptographic measures against quantum threats.
The advent of quantum computing poses a significant threat to the cryptographic foundations that secure critical infrastructure information systems, including energy grids, transportation networks, healthcare systems, and financial services. Conventional public-key cryptographic schemes such as RSA and elliptic curve cryptography are vulnerable to quantum attacks, necessitating a paradigm shift toward post-quantum secure design principles. This review paper examines emerging post-quantum cryptographic frameworks and their role in strengthening detection and mitigation mechanisms within critical infrastructure environments. It systematically analyzes post-quantum algorithms, hybrid cryptographic models, and quantum-resilient authentication schemes, emphasizing their integration into intrusion detection systems, anomaly detection frameworks, and secure communication protocols. Additionally, the paper explores quantum-aware threat models, resilience-oriented system architectures, and adaptive mitigation strategies that enhance system survivability against both classical and quantum-enabled cyber threats. Key challenges including computational overhead, legacy system compatibility, scalability, and regulatory compliance are critically discussed, alongside ongoing standardization efforts and implementation case studies. By synthesizing current research and industry practices, this review provides a comprehensive roadmap for designing, deploying, and managing post-quantum secure detection and mitigation frameworks that ensure the long-term resilience, reliability, and trustworthiness of critical infrastructure information systems in the quantum era.