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New adaptive synchronization algorithm for a general class of complex hyperchaotic systems with unknown parameters and its application to secure communication. / Shoreh, A. A.H.; Mokaev, T. N.; Кузнецов, Николай Владимирович.

в: Physica A: Statistical Mechanics and its Applications, Том 586, 126466, 15.01.2022.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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@article{4786c5dfe4004290ab9dbba50ed7f159,
title = "New adaptive synchronization algorithm for a general class of complex hyperchaotic systems with unknown parameters and its application to secure communication",
abstract = "The aim of this report is to investigate an adaptive synchronization (AS) for the general class of complex hyperchaotic models with unknown parameters and a new algorithm to achieve this type of synchronization is proposed. Owing to the intricacy behavior of hyperchaotic models that could be effective in secure communications, the special control based on adaptive laws of parameters is constructed analytically, and the corresponding simulated results are performed to validate the algorithm's accuracy. The complex Rabinovich model is utilized as an enticing example to examine the proposed synchronization technique. A strategy for secure communication improving the overall cryptosystem is proposed; the scheme is designed to split the message and insert some bit of information signal into the modulation parameters and the other bit into the transmitter system's states, making decryption by intruders more difficult. Meanwhile, adaptive techniques and a decryption function on the receiver side can accurately retrieve the message. Different types of encoded messages are examined for testing the robustness of the proposed scheme (e.g., text and gray images with diverse scales of white Gaussian noise). (C) 2021 Elsevier B.V. All rights reserved.",
keywords = "Adaptive controllers, Adaptive synchronization, Complex models, Gaussian noise, Hyperchaotic, Secure communication, CHAOS, HIDDEN ATTRACTOR, NONLINEAR-SYSTEMS, STABILITY, LAG SYNCHRONIZATION, DIGITAL-COMMUNICATIONS",
author = "Shoreh, {A. A.H.} and Mokaev, {T. N.} and Кузнецов, {Николай Владимирович}",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2022",
month = jan,
day = "15",
doi = "10.1016/j.physa.2021.126466",
language = "English",
volume = "586",
journal = "Physica A: Statistical Mechanics and its Applications",
issn = "0378-4371",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - New adaptive synchronization algorithm for a general class of complex hyperchaotic systems with unknown parameters and its application to secure communication

AU - Shoreh, A. A.H.

AU - Mokaev, T. N.

AU - Кузнецов, Николай Владимирович

N1 - Publisher Copyright: © 2021 Elsevier B.V.

PY - 2022/1/15

Y1 - 2022/1/15

N2 - The aim of this report is to investigate an adaptive synchronization (AS) for the general class of complex hyperchaotic models with unknown parameters and a new algorithm to achieve this type of synchronization is proposed. Owing to the intricacy behavior of hyperchaotic models that could be effective in secure communications, the special control based on adaptive laws of parameters is constructed analytically, and the corresponding simulated results are performed to validate the algorithm's accuracy. The complex Rabinovich model is utilized as an enticing example to examine the proposed synchronization technique. A strategy for secure communication improving the overall cryptosystem is proposed; the scheme is designed to split the message and insert some bit of information signal into the modulation parameters and the other bit into the transmitter system's states, making decryption by intruders more difficult. Meanwhile, adaptive techniques and a decryption function on the receiver side can accurately retrieve the message. Different types of encoded messages are examined for testing the robustness of the proposed scheme (e.g., text and gray images with diverse scales of white Gaussian noise). (C) 2021 Elsevier B.V. All rights reserved.

AB - The aim of this report is to investigate an adaptive synchronization (AS) for the general class of complex hyperchaotic models with unknown parameters and a new algorithm to achieve this type of synchronization is proposed. Owing to the intricacy behavior of hyperchaotic models that could be effective in secure communications, the special control based on adaptive laws of parameters is constructed analytically, and the corresponding simulated results are performed to validate the algorithm's accuracy. The complex Rabinovich model is utilized as an enticing example to examine the proposed synchronization technique. A strategy for secure communication improving the overall cryptosystem is proposed; the scheme is designed to split the message and insert some bit of information signal into the modulation parameters and the other bit into the transmitter system's states, making decryption by intruders more difficult. Meanwhile, adaptive techniques and a decryption function on the receiver side can accurately retrieve the message. Different types of encoded messages are examined for testing the robustness of the proposed scheme (e.g., text and gray images with diverse scales of white Gaussian noise). (C) 2021 Elsevier B.V. All rights reserved.

KW - Adaptive controllers

KW - Adaptive synchronization

KW - Complex models

KW - Gaussian noise

KW - Hyperchaotic

KW - Secure communication

KW - CHAOS

KW - HIDDEN ATTRACTOR

KW - NONLINEAR-SYSTEMS

KW - STABILITY

KW - LAG SYNCHRONIZATION

KW - DIGITAL-COMMUNICATIONS

UR - http://www.scopus.com/inward/record.url?scp=85116942794&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/af7b6006-3164-3357-89a0-4bf32a7187d1/

U2 - 10.1016/j.physa.2021.126466

DO - 10.1016/j.physa.2021.126466

M3 - Article

AN - SCOPUS:85116942794

VL - 586

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

SN - 0378-4371

M1 - 126466

ER -

ID: 86498797