Quantum Diffie–Hellman Extended to Dynamic Quantum Group Key Agreement for e-Healthcare Multi-Agent Systems in Smart Cities

Naresh, Vankamamidi S.; Nasralla, Moustafa M.; Reddi, Sivaranjani; García‐Magariño, Iván

doi:10.3390/s20143940

Cited by 24 publications

(12 citation statements)

References 61 publications

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“…Koyama et al [95] proposed a midinfrared spectroscopic system using a pulsed quantum cascade laser and high-speed wavelength-swept for healthcare applications, e.g., blood glucose measurement. Naresh et al [96] proposed a quantum DH extension to dynamic quantum group key agreement for multi-agent systems based e-healthcare applications in smart cities.…”

Section: B Quantum Computing For Healthcarementioning

confidence: 99%

Quantum Computing for Healthcare: A Review

Rasool¹,

Ahmad²,

Rafique³

et al. 2023

Preprint

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<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>

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Section: B Quantum Computing For Healthcarementioning

confidence: 99%

Quantum Computing for Healthcare: A Review

Rasool¹,

Ahmad²,

Rafique³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Koyama et al [94] proposed a mid-infrared spectroscopic system using a pulsed quantum cascade laser and high-speed wavelength-swept for healthcare applications, e.g., blood glucose measurement. Naresh et al [95] proposed a quantum DH extension to dynamic quantum group key agreement for multi-agent systems based e-healthcare applications in smart cities.…”

Section: A Quantum Computing Architecture: a Brief Overviewmentioning

confidence: 99%

Quantum Computing for Healthcare: A Review

Rasool¹,

Ahmad²,

Rafique³

et al. 2022

Preprint

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<p>Quantum computing uses fundamentally different ways of information processing compared to traditional computing systems such as the use of qubits (quantum bits) and the quantum properties of subatomic particles such as interference, entanglement and superposition to extend the computational capabilities to hitherto unprecedented levels. Although quantum computing systems promise to provide exponential performance benefits in processing, the field is still in an embryonic phase with active ongoing research and development. The efficacy of quantum computing for important verticals such as healthcare---where quantum computing can enable important breakthroughs such as developing drugs, quick DNA sequencing, processing big healthcare data, and performing other compute-intensive tasks---is not yet fully explored. Keeping in view, this article explores this area and analyzes the potential of quantum computing for healthcare systems. We explore various dimensions within healthcare ecosystem where quantum computing could introduce new possibilities through higher computational speed to perform complex healthcare computations. Implementations of quantum computing in the healthcare scenarios have their own unique set of requirements. And therefore, we not only identify those key elements but also present a taxonomy of existing literature around quantum-based healthcare ecosystem, distinguishing cryptography in classical vs modern era along the way. Finally, we explore current challenges, their causes, and future research directions in implementing quantum computing systems in healthcare. </p>

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“…The simulation parameters include: the maximum permissible error rate e max = 0.11, the experiment's repetition rate ω = 1, the error correction failure threshold ε EC = 10 (−10) , and the aborting probability ε abort = Fig. 4 Finite Secret-key rate of DGL22 compared with several recent protocols: Fair random-based protocols [19,18,35,34], and [15]; and memory-assisted protocols [23,1,14], and [22].…”

Section: Key Establishment Timementioning

confidence: 99%

DGL22: A practical Quantum key distribution

Aldarwbi

Ghorbani

Lashkari

2022

Preprint

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Quantum key distribution (QKD) protocols are unconditionally secure, providing that quantum devices are truthful. Device-independent quantum key distribution (DI-QKD) protocols offer the prospect of distributing secret keys with minimal assumptions. The DI-QKD protocols are hard to implement using the current technologies as they require all the quantum devices to be uncharacterized. Measurement device independent quantum key distribution (MDI-QKD) protocols assume that the measurement devices are not truthful; the adversary might make them. MDI-QKD is secure but more challenging to implement. Receiver-device-independent quantum key distribution (RDI-QKD) protocols assume that the receiver's measurement devices can be viewed as a black box while the sender's device can be trusted. RDI-QKD relies on reasonable assumptions that make it easy to implement using the current state-of-the-art technology. We propose an RDI-QKD protocol, called DGL22. DGL22 is secure against all known attacks that are allowed by quantum mechanics. DGL22 provides several benefits over previous protocols, including the capability to attain high communication and sifting efficiency.

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Quantum Diffie–Hellman Extended to Dynamic Quantum Group Key Agreement for e-Healthcare Multi-Agent Systems in Smart Cities

Cited by 24 publications

References 61 publications

Quantum Computing for Healthcare: A Review

Quantum Computing for Healthcare: A Review

Quantum Computing for Healthcare: A Review

DGL22: A practical Quantum key distribution

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