Secured ECG Signal Transmission Using Optimized EGC with Chaotic Neural Network in WBSN

Mishra, Ishani; Jain, Sanjay; Maik, Vivek

doi:10.32604/csse.2023.025999

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…T Therefore, the energy function can be obtained by applying the equation (15). For the complex system presented in equation (5), the vector field is presented by…”

Section: Hamilton Energy For the Complex Differential Systemmentioning

confidence: 99%

“…Chaos is a seemingly random phenomenon in differential system without any random factors [2]. Chaos theory as a branch of nonlinear science, it has been widely applied in economy [3], weak signal detection [4][5][6], medical diagnosis [7][8][9], image encryption [10][11][12], neural network [13][14][15], and secure communication [16][17][18]. So far, the researchers have proposed a variety of chaotic systems, such as the continuous chaotic systems [16,[19][20][21][22][23][24][25], continuous fractional order chaotic systems [26,27], discrete chaotic maps [28,29], fractional order discrete chaotic maps [30][31][32], memristive chaotic systems [33,34] and maps [35,36], complex chaotic systems [37,38].…”

Section: Introductionmentioning

confidence: 99%

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Hamilton energy of a complex chaotic system and offset boosting

Gao

2023

Phys. Scr.

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The complex differential system can be obtained by introducing complex variable in the real differential system. Complex variables can be decomposed into real component and imaginary component, which makes the complex differential systems have more complex dynamic behaviors. Complex chaotic system is used in secure communications to increase the security of cryptographic systems. In this study, we designed a complex differential system by incorporating a complex variable into a 3D differential system. Dynamics of this complex differential system are investigated by applying typical nonlinear analysis tools. Furthermore, Hamilton energy function for complex differential system is obtained based on Helmholtz’s theorem. The values of Hamilton energy with different oscillations of complex differential system are calculated. In addition, offset boosting control for the complex chaotic signal is realized by adding a constant to variable of complex system. Simulation shows that the position of the chaotic attractor in phase space can be flexibly shifted by applying the offset parameter.

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“…T Therefore, the energy function can be obtained by applying the equation (15). For the complex system presented in equation (5), the vector field is presented by…”

Section: Hamilton Energy For the Complex Differential Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hamilton energy of a complex chaotic system and offset boosting

Gao

2023

Phys. Scr.

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“…Chaotic systems have many applications due to their complexity [1]. Memristors [2][3][4], circuits [5,6], neural networks [7,8] and cybersecurity [9,10] are some well-known areas where chaotic systems are applied in practice.…”

Section: Introductionmentioning

confidence: 99%

Bifurcation analysis, circuit design and sliding mode control of a new multistable chaotic population model with one prey and two predators

2023

Archives of Control Sciences

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In this work, we report a new chaotic population biology system with one prey and two predators. Our new chaotic population model is derived by introducing two nonlinear interaction terms between the prey and predator-2 to the Samardzija-Greller population biology system (1988). We show that the new chaotic population biology system has a greater value of Maximal Lyapunov Exponent (MLE) than the Maximal Lyapunov Exponent (MLE) of the Samardzija-Greller population biology system (1988). We carry out a detailed bifurcation analysis of the new chaotic population biology system with one prey and two predators. We also show that the new chaotic population biology model exhibits multistability with coexisting chaotic attractors. Next, we use the integral sliding mode control (ISMC) for the complete synchronization of the new chaotic population biology system with itself, taken as the master and slave chaotic population biology systems. Finally, for practical use of the new chaotic population biology system, we design an electronic circuit design using Multisim (Version 14.0).

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A Novel Cipher-Based Data Encryption with Galois Field Theory

Hazzazi

Attuluri²,

Bassfar

et al. 2023

Sensors

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Both the act of keeping information secret and the research on how to achieve it are included in the broad category of cryptography. When people refer to “information security,” they are referring to the study and use of methods that make data transfers harder to intercept. When we talk about “information security,” this is what we have in mind. Using private keys to encrypt and decode messages is a part of this procedure. Because of its vital role in modern information theory, computer security, and engineering, cryptography is now considered to be a branch of both mathematics and computer science. Because of its mathematical properties, the Galois field may be used to encrypt and decode information, making it relevant to the subject of cryptography. The ability to encrypt and decode information is one such use. In this case, the data may be encoded as a Galois vector, and the scrambling process could include the application of mathematical operations that involve an inverse. While this method is unsafe when used on its own, it forms the foundation for secure symmetric algorithms like AES and DES when combined with other bit shuffling methods. A two-by-two encryption matrix is used to protect the two data streams, each of which contains 25 bits of binary information which is included in the proposed work. Each cell in the matrix represents an irreducible polynomial of degree 6. Fine-tuning the values of the bits that make up each of the two 25-bit binary data streams using the Discrete Cosine Transform (DCT) with the Advanced Encryption Standard (AES) Method yields two polynomials of degree 6. Optimization is carried out using the Black Widow Optimization technique is used to tune the key generation in the cryptographic processing. By doing so, we can produce two polynomials of the same degree, which was our original aim. Users may also use cryptography to look for signs of tampering, such as whether a hacker obtained unauthorized access to a patient’s medical records and made any changes to them. Cryptography also allows people to look for signs of tampering with data. Indeed, this is another use of cryptography. It also has the added value of allowing users to check for indications of data manipulation. Users may also positively identify faraway people and objects, which is especially useful for verifying a document’s authenticity since it lessens the possibility that it was fabricated. The proposed work achieves higher accuracy of 97.24%, higher throughput of 93.47%, and a minimum decryption time of 0.0047 s.

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Secured ECG Signal Transmission Using Optimized EGC with Chaotic Neural Network in WBSN

Cited by 3 publications

References 14 publications

Hamilton energy of a complex chaotic system and offset boosting

Hamilton energy of a complex chaotic system and offset boosting

Bifurcation analysis, circuit design and sliding mode control of a new multistable chaotic population model with one prey and two predators

A Novel Cipher-Based Data Encryption with Galois Field Theory

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