The integration of quantum computing into governmental and business processes has raised concerns about potential threats to these systems. To address this, we introduce a novel extension of the MITRE ATT&CK framework, QATT&CK, which provides an extended taxonomy for classifying adversarial Tactics and Techniques in quantum cybersecurity. Our adapted framework bridges the definitions of traditional cybersecurity with a focus on quantum computing infrastructure, enabling a more comprehensive understanding of adversarial behavior in this domain. To evaluate our proposed framework, we leverage current and ongoing research in quantum cyber threats, mapping real-world attacks to our taxonomy to demonstrate its effectiveness in identifying and categorizing emerging quantum-specific threats. This evaluation highlights the utility of QATT&CK in addressing the unique challenges posed by quantum computing, ensuring organizations are better equipped to defend against adversarial actions targeting these advanced systems.
The integration of quantum computing into governmental and business processes has raised concerns about potential threats to these systems. To address this, we introduce a novel extension of the MITRE ATT&CK framework, QATT&CK, which provides an extended taxonomy for classifying adversarial Tactics and Techniques in quantum cybersecurity. Our adapted framework bridges the definitions of traditional cybersecurity with a focus on quantum computing infrastructure, enabling a more comprehensive understanding of adversarial behavior in this domain. To evaluate our proposed framework, we leverage current and ongoing research in quantum cyber threats, mapping real-world attacks to our taxonomy to demonstrate its effectiveness in identifying and categorizing emerging quantum-specific threats. This evaluation highlights the utility of QATT&CK in addressing the unique challenges posed by quantum computing, ensuring organizations are better equipped to defend against adversarial actions targeting these advanced systems.
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 advent of quantum computing marks a transformative era in cybersecurity, challenging traditional cryptographic frameworks and broadening the horizons of computational capabilities. This paper navigates the transition to a quantum-resistant security framework, offering a critical analysis of encryption methods essential for the protection of critical infrastructure and cloud services in the quantum era. It meticulously evaluates the effects of quantum computing across various infrastructure layers, including applications, data, runtime, middleware, operating systems, virtualization, hardware, storage, and networks. Through a nuanced exploration of potential vulnerabilities and the evolving threat landscape conferred by quantum technologies, our study delivers strategic insights for the development of effective countermeasures. Our comprehensive inquiry underscores the pivotal shift necessitated by the disruptive potential of quantum computing, advocating for preemptive and inventive security strategies. It calls for concerted, multi-sectoral collaboration to cultivate resilient, quantum-resistant cryptographic practices. Through meticulous research, we articulate the emergent threat vectors posed by quantum technologies and evaluate post-quantum cryptographic solutions, laying the groundwork for safeguarding both current and prospective infrastructural and cloud ecosystems. Significantly, this study introduces a tailored security blueprint encompassing nine critical infrastructure components, reinforcing each domain’s defenses against quantum-induced cyber threats. Our strategic vulnerability assessment provide essential countermeasures, equipping stakeholders with the ability to navigate the complex, quantum-threatened landscape. These contributions are integral for those tasked with critical infrastructure stewardship, influencing design, implementation, and policy formulation. In essence, this paper not only forecasts quantum threats but also offers a sophisticated, actionable framework for strengthening infrastructure and cloud environments against the multifaceted challenges of the quantum era.
With the rapid advancement of artificial intelligence (AI) and quantum computing, cybersecurity threats have evolved, giving rise to adversarial quantum attacks. These attacks exploit the vulnerabilities of AI models using quantum algorithms, posing a significant risk to data security, model robustness, and decision-making systems. This paper presents a comprehensive review of adversarial quantum attacks on AI, analyzing their mechanisms, potential impacts, and countermeasures. It explores how quantum computing can enhance adversarial attacks by accelerating the generation of adversarial examples, breaking cryptographic protections, and undermining AI model integrity. Additionally, the study examines different attack vectors, including quantum-enhanced adversarial perturbations, quantum machine learning (QML) vulnerabilities, and quantum decryption threats. The paper also discusses defensive strategies such as quantum-resistant AI models, quantum cryptographic defenses, and hybrid quantum-classical security frameworks that can mitigate these risks. By evaluating existing research and emerging trends, this review provides insights into the growing intersection of AI security and quantum computing. The findings emphasize the urgent need for robust quantum-aware AI security frameworks to safeguard AI-driven systems in the quantum era. Future research directions include developing quantum-adaptive AI models, post-quantum cryptographic techniques, and real-world applications of quantum-safe AI architectures. This review aims to contribute to the ongoing discourse on ensuring AI resilience against adversarial quantum threats, paving the way for a secure and quantum-resistant future.
The emergence of quantum computing is set to reshape the landscape of cybersecurity, presenting a blend of significant challenges and groundbreaking opportunities. This paper delves into the growing risks tied to quantum technologies, with a particular focus on post-quantum cryptography (PQC) and the threats posed by the possible obsolescence of traditional cryptographic methods. As quantum computing capabilities advance at a rapid pace, the need for the development of quantum-resistant security protocols has become more urgent than ever. This research investigates the vulnerabilities of current cryptographic systems, the potential dangers posed by quantum computing, and the solutions already available in the field of post-quantum cryptography. Furthermore, the paper outlines a comprehensive framework for cybersecurity solutions that are resilient to future quantum threats, emphasizing the importance of collaboration across academic, industrial, and governmental sectors. By reviewing current literature and technological developments, this paper provides a roadmap for transitioning to quantum-safe security practices, addressing the risks brought on by quantum advancements, and ensuring that critical infrastructure is well-defended against quantum-driven attacks. The findings indicate that while quantum computing introduces profound risks to traditional cybersecurity systems, a proactive, strategic adoption of PQC solutions can effectively protect vital infrastructure in the post-quantum age.
Abstract Quantum computing promises unprecedented computational power, posing fundamental threats and offering novel solutions to modern cryptography and cybersecurity. This survey paper reviews the rapidly evolving landscape of quantum-resistant and quantum-native security protocols. By analyzing foundational computational security models and the unique vulnerabilities introduced by quantum algorithms, this work proposes a structured evaluation framework for assessing the robustness of cryptographic systems. Ultimately, this survey highlights the critical transition from classical cryptographic infrastructures to quantum-secure paradigms, ensuring data confidentiality and integrity in the post-quantum era. Keywords: Quantum Computing, Security Protocol, Vulnerabilities 1.Introduction The emergence of quantum computing represents a paradigm shift in both computational physics and information technology. Quantum algorithms, particularly Shor's and Grover's algorithms, inherently challenge the mathematical foundations of classical public-key cryptography. As a result, securing communication channels against quantum-empowered adversaries has become an urgent priority for global infrastructure and national security. The motivation for this survey stems from the immediate need to bridge the gap between theoretical quantum mechanics and applied cybersecurity, ensuring that secure communications can withstand the computational leaps expected in the next decade. The core problem addressed in this paper is the comprehensive evaluation of security protocols under the threat model of a fully scalable quantum computer. The scope encompasses both post-quantum cryptographic (PQC) protocols and inherently quantum protocols, such as those relying on physical quantum states for key distribution. Existing classical approaches are insufficient for two main reasons. First, classical computational security models often rely on mathematical hardness assumptions (like integer factorization) that are rapidly undermined by theoretical quantum algorithms. Second, current software tools for designing secure classical protocols fail to account for quantum state phenomena, such as superposition and entanglement, rendering classical verification methods inadequate for quantum threat models. To address these structural challenges, this paper presents the following contributions: We provide a comprehensive taxonomy of vulnerabilities in both classical and quantum security protocols, mapping specific algorithmic advantages to protocol failure points. We propose a structured, multi-module framework for simulating, attacking, and verifying the security of hybrid quantum-classical cryptographic architectures. 2.Foundations of Classical Protocol Analysis The rigorous analysis of security protocols has traditionally relied on well-defined computational and symbolic models (Toorani, 2016). Researchers have extensively mapped out the taxonomy of attacks on authenticated key exchange (AKE) protocols and password-authenticated key exchange (PAKE) systems, establishing the mathematical groundwork for secure communication. The core idea of these foundational works is to establish provable security bounds that distinguish between information-theoretic and computational security. While this traditional paradigm offers strong mathematical guarantees against classical adversaries, its primary weakness is the failure to incorporate quantum attack vectors into the adversary's capability profile. Our work builds upon these classical models by explicitly injecting quantum algorithmic capabilities into standard protocol verification routines. 2.1.Quantum Algorithm Development and Simulation A significant body of literature focuses on the theoretical development and computational simulation of quantum algorithms capable of compromising or enhancing network security. Academic overviews have formalized algorithms like Grover's and Shor's, demonstrating their theoretical efficiency over classical counterparts in breaking cryptographic primitives. Furthermore, researchers have developed advanced design automation tools, such as decision diagrams, to simulate and verify complex quantum circuits. The strength of these simulation tools lies in their ability to model complex quantum states without requiring expensive physical hardware. However, a notable weakness is that they often abstract away the physical noise and hardware constraints that exist in real-world cryptographic deployments. This survey contextualizes these simulation techniques specifically within the framework of adversarial security testing, bridging theoretical algorithms with practical protocol defense. 3.Physical Implementations and Hardware Considerations Beyond algorithmic theory, the physical realization of quantum states directly impacts the practical security of any quantum protocol. Research into cavity quantum electrodynamics (QED) has demonstrated the complete mathematical construction of fundamental quantum gates, such as the controlled-controlled NOT gate, operating in the weak coupling regime (Fujii et al., 2005). Additionally, methods like Quantum Computed Moments (QCM) address the hardware constraints and noise typical of Near-Term Intermediate Scale Quantum (NISQ) devices, estimating ground state properties even with suboptimal trial states. The strength of this hardware-focused research is its realism regarding current technological limits; however, it often lacks a direct bridge to high-level network protocol verification. Compared to these purely physical studies, our survey integrates physical noise models into a generalized, software-driven protocol verification framework. 4.Approach To systematically evaluate quantum computing security protocols, we propose a structured Quantum Protocol Verification Framework (QPVF). The first module is the "Threat Modeling Engine," which defines the adversary's capabilities, ranging from classical data interception to full quantum memory manipulation. The second module is the "Quantum Circuit Synthesizer," which leverages decision diagram-based tools to translate high-level cryptographic operations into verifiable quantum circuits. The final module is the "Vulnerability Analyzer," which subjects the synthesized circuits to simulated quantum attacks, effectively distinguishing between idealized computational security and realistic hardware-constrained security. This modular pipeline allows security engineers to isolate specific vulnerabilities at both the abstract algorithmic layer and the simulated physical implementation layer. A key design choice in the QPVF is the utilization of decision diagrams for circuit simulation. This choice is predicated on the fact that decision diagrams efficiently handle the exponential state space of quantum systems during complex verification tasks (Wille et al., 2021). Furthermore, our framework explicitly incorporates noise models derived from current NISQ hardware limitations, ensuring that the security evaluation reflects realistic physical constraints rather than purely idealized environments (Vallury & Hollenberg, 2023). To evaluate this framework, we propose a hypothetical benchmarking plan using an artificially generated dataset of 10,000 hybrid quantum-classical cryptographic key exchanges. We will measure the success rate of simulated Grover-based brute-force attacks against varying key sizes and simulated environmental noise levels. This evaluation will compare the theoretical vulnerability threshold of a protocol against the practical threshold observed when quantum noise severely degrades the adversary's computational capabilities. The operational flow of the QPVF is designed to provide end-to-end security verification for next-generation networks. It bridges the critical gap between abstract protocol design and simulated hardware execution. The methodology can be summarized by the following numbered pipeline: Protocol Ingestion: The classical or quantum protocol is parsed into a standardized symbolic representation. Adversary Assignment: The user assigns a precise computational profile, selecting between traditional classical algorithms or advanced quantum capabilities. Circuit Generation: Protocol steps are mapped to equivalent quantum decision diagrams for scalable software simulation. Execution & Attack: Simulated quantum algorithms are executed against the mapped circuits to test for cryptographic resilience. Output Generation: The system outputs a vulnerability score and highlights specific failure points caused by either algorithmic weaknesses or simulated hardware noise. 5.Discussion The transition to quantum-secure protocols carries profound practical implications for global information infrastructure and enterprise deployment. Deploying these advanced protocols requires immense updates to existing software toolkits, as current digital systems are not fundamentally designed to handle the complexity of quantum states. Furthermore, organizations must consider the massive educational and workforce development efforts needed to train software engineers in quantum cryptography, a requirement already highlighted by international hackathons and educational initiatives. Integrating quantum-resistant protocols into complex domains like high-energy physics networks or global banking systems will require bridging the gap between theoretical quantum mechanics and applied computer engineering. Consequently, practical deployment must occur in hybrid phases, maintaining classical cryptographic wrappers while dedicated quantum infrastructure matures. Despite the robust theoretical design of proposed quantum security frameworks, several limitations and failure modes persist in practical applications. First, physical implementation attacks, such as side-channel attacks on the lasers and cavities used in physical quantum gates can bypass theoretical software security guarant
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.