Multiple-valued logic-protected coding for an optical non-quantum communication line

Antipov, A. L.; Bykovsky, Alexey Yu.; Vasiliev, N. A.; Egorov, Anton

doi:10.1007/s10946-006-0031-y

Cited by 10 publications

(17 citation statements)

References 15 publications

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“…The problem of direct secured communication of agents by means of MVL protocol was discussed in [67,68], and the proposed MVL version of the one-time pad (OTP) secret coding scheme [67] was initially oriented on the application of quantum random number generators [69,70] for the protection of MAS systems. Since then, the development of quantum key distribution networks [8,9] has greatly escalated the interest in OTP secret coding protocols.…”

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

“…Since then, the development of quantum key distribution networks [8,9] has greatly escalated the interest in OTP secret coding protocols. As it was discussed in [9], an MVL-based version of OTP secret coding [67] can be used for adverse environmental conditions, preventing the transfer of qubits.…”

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

“…Mass cryptographic techniques usually exploit key-space dimensions up to~10 30 , but modern mathematics provides much larger dimensions [73,74] for addressing and targeted parameters description. The toolkit of multiple-valued logics [67,68,75] is convenient for implementing high-security one-time pad techniques, and it potentially provides~10 70 different random one-time keys even for an 8-bit platform without overwriting the memory of the encoding module, which can be used for long-term autonomous work. The gain in dimension in the MVL method in comparison with binary logic is because for a multiple-valued logic function, the number of rows in its truth table is k n instead of 2 n for Boolean logic [72], and the number of different logic functions is k k n instead of 2 2 n .…”

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

“…To encrypt messages by MVL, one should install separate quantum random number generator (QRNGs) in encoders and decoders [69,70]. In addition, it is necessary to generate confidentially one or several secret multiple-valued logic functions with randomly given parameters with the help of QRNGs [67,68,75,76] and write it in the memory of both subscribers. In order to construct such a function, it is sufficient to generate several arrays of randomly assigned k-digit numbers, and then, according to certain rules, to form a special matrix of randomly chosen parameter pairs a i , b j .…”

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

See 3 more Smart Citations

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

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Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

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Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

Section: Mvl-based Schemes For Secured Coding Of Datamentioning

confidence: 99%

See 2 more Smart Citations

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

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“…Multiple-valued logic (MVL) model of verification procedure in sec.2 is based on Allen -Givonne discrete algebra [1,4,5] with the number of logic levels of and higher. The full set of non-Boolean operators include constants operators , and LITERAL .…”

Section: Multiple-valued Logic Digital Map For the Modelling Of Verifmentioning

confidence: 99%

Position-based cryptography by means of quantum and classical schemes, using multiple-valued logic computing

Bykovsky

2019

EPJ Web Conf.

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Quantum and classical schemes of position-based cryprography are to transfer confidential message to an abonent with localised space position. Known verification proceedures are based on time-delay measurements of response signals and can`t provide unconditional security, as the eavesdropper can always cheat verifiers with the help of false signals. In order to raise the relative level of security, it is proposed to combine the quantum verification scheme by D.Unruh with multiple-valued logic methods.

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Data-protection ordering/disordering of a fuzzy logic model in a robotic agent via the optical-data-transfer line

2008

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Multiple-valued logic-protected coding for an optical non-quantum communication line

Cited by 10 publications

References 15 publications

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Position-based cryptography by means of quantum and classical schemes, using multiple-valued logic computing

Data-protection ordering/disordering of a fuzzy logic model in a robotic agent via the optical-data-transfer line

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