Model Checking Quantum Key Distribution Protocols

Huang, Baichuan; Huang, Yan; Kong, Jiaming; Huang, Xin

doi:10.1109/itme.2016.0144

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The process was performed by using PRISM tool in [21]. In [22] a variant of BB84 was modeled by using discrete time Markov chain and probabilistic computation tree logic and its security properties were verified by using PRISM tool. BB84 and B94 were modeled by using Communicating Quantum Processes in [23] which were translated into PRISM model for its verification.…”

Section: Literature Surveymentioning

confidence: 99%

Modeling and Verification of Aircraft Takeoff Through Novel Quantum Nets

Jamal¹,

Zafar²,

Rahman³

et al. 2022

Computers, Materials &Amp; Continua

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The formal modeling and verification of aircraft takeoff is a challenge because it is a complex safety-critical operation. The task of aircraft takeoff is distributed amongst various computer-based controllers, however, with the growing malicious threats a secure communication between aircraft and controllers becomes highly important. This research serves as a starting point for integration of BB84 quantum protocol with petri nets for secure modeling and verification of takeoff procedure. The integrated model combines the BB84 quantum cryptographic protocol with powerful verification tool support offered by petri nets. To model certain important properties of BB84, a new variant of petri nets coined as Quantum Nets are proposed by defining their mathematical foundations and overall system dynamics, furthermore, some important system properties are also abstractly defined. The proposed Quantum Nets are then applied for modeling of aircraft takeoff process by defining three quantum nets: namely aircraft, runway controller and gate controller. For authentication between quantum nets, the use of external places and transitions is demonstrated to describe the encryptiondecryption process of qubits stream. Finally, the developed takeoff quantum network is verified through simulation offered by colored petri-net (CPN) Tools. Moreover, reachability tree (RT) analysis is also performed to have greater confidence in feasibility and correctness of the proposed aircraft takeoff model through the Quantum Nets.

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Section: Literature Surveymentioning

confidence: 99%

Modeling and Verification of Aircraft Takeoff Through Novel Quantum Nets

Jamal¹,

Zafar²,

Rahman³

et al. 2022

Computers, Materials &Amp; Continua

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“…The sending party then randomly chooses a basis for each qubit with either rectilinear (⊕) or diagonal polarization (⊗). A qubit can be represented in either of the following quantum states:

\begin{matrix} alignleft \\ align-1 | ψ (0, \oplus) ⟩ & align-2 = | 0 ⟩ \\ align-1 | ψ (1, \oplus) ⟩ & align-2 = | 1 ⟩ \\ align-1 | ψ (0, \otimes) ⟩ & align-2 = | + ⟩ \\ align-1 | ψ (1, \otimes) ⟩ & align-2 = | - ⟩ . \\ align-1 & align-2 \end{matrix}

Figure also shows how a qubit can be encoded in the polarization of a photon in the BB84 protocol. The receiving party then randomly selects a basis for the measurement of the received polarized photons.…”

Section: Overview Of Qkdmentioning

confidence: 99%

Enhancing the security of a cloud‐based smart grid AMI network by leveraging on the features of quantum key distribution

Diovu

Agee

2019

Trans Emerging Tel Tech

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In the last decade, there have been many research proposals on the potentials of incorporating cloud computing technology to the electrical power grid as it evolves rapidly to the smart grid. The advanced metering infrastructure (AMI) is one domain of the smart grid that can be greatly impacted by cloud computing technology with regards to an improved capability for data storage and computations, which will be a serious burden to the AMI in an evolved smart grid environment. In our previous study, a cloud‐based OpenFlow firewall for the mitigation of distributed denial‐of‐service attacks in a smart grid AMI (SG AMI) was proposed. In that study, it was clearly demonstrated that cloud computing technology, in addition to improving the storage and computation capability of the AMI, can also be leveraged on to enhance the security of the SG AMI in an attack scenario. In this study, we propose a cloud‐based SG AMI system model utilizing quantum key distribution (QKD) cryptography for enhancing the security of a cloud‐based SG AMI. The proposed model has been designed to complement the security features of the previously designed OpenFlow firewall to guarantee not only the availability but also the confidentiality and integrity of data traversing the AMI network and beyond. The analysis on computation and communication costs shows that the protocols utilized in the proposed system model are lightweight protocols. In addition, results from the simulation of the QKD (BB84) protocol show that QKD can be leveraged on to provide information theoretic security for the cloud‐based SG AMI.

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