Color encryption scheme based on adapted quantum logistic map

Zaghloul, Alaa; Zhang, Tiejun; Amin, Mohamed; El‐Latif, Ahmed A. Abd

doi:10.1117/12.2064628

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…The operation data at the supply chain end are a confidential document for a company, and the leakage of data may cause bad industry competition and huge economic loss. Therefore, information security management at the supply chain end is an essential part [ 13 , 14 ]. The integration between product receipt and delivery and logistics information at the supply chain end needs to be coordinated by an integrated intelligent management system, and all data sources should be centralized with the incoming and outgoing products [ 15 ] .…”

Section: Introductionmentioning

confidence: 99%

Logistics Optimization Strategy Based on Deep Neural Framework

Liu

Zhu

2022

Computational Intelligence and Neuroscience

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We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data and can give the best logistics strategy in time during the peak logistics period, which improves the product delivery rate and delivery time of logistics and greatly enhances the return on investment. First, we add a tensor rotation module to the graph convolution layer to better capture the global features of logistics nodes. Then we add inception structures in the temporal convolution layer to build multiscale temporal convolution filters to obtain temporal information of logistics nodes in different time-aware domains and reduce arithmetic power. Finally, we cooperate with e-commerce platforms to adopt logistics data as the experimental database. The experimental results show that our method greatly accelerates the logistics planning speed, improves the product delivery rate, ensures the timely delivery of products, and increases the return on investment.

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Section: Introductionmentioning

confidence: 99%

Logistics Optimization Strategy Based on Deep Neural Framework

Liu

Zhu

2022

Computational Intelligence and Neuroscience

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“…Hence, quantum logistic system is suitable as seed system in encryption algorithm. There are numerous research papers based on the quantum logistic system [33], [46], [47].…”

Section: Introductionmentioning

confidence: 99%

High Intensity Image Encryption Scheme Based on Quantum Logistic Chaotic Map and Complex Hyperchaotic System

Yang

Yan

2019

IEEE Access

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In this paper, a novel encryption algorithm based on quantum chaotic map and four-wing complex system is proposed. Dynamical performances of the two system are revealed by phase portraits, Lyapunov exponent spectrum, bifurcation diagram analyses and complexity entropy. Based on these analyses, an encryption algorithm is designed by the two chaotic system and DNA coding. Firstly, in process of permutation operation, quantum logistic map is utilized to generate chaotic sequences for disrupting the position of each pixel point combine with Arnold transformation. Then, using the complex hyperchaotic system, the value of each pixel is diffused through mathematical operation and DNA encoding. Finally, security performance is analyzed. Simulation results demonstrate that the algorithm has good robustness and high-quality performance, and it can effectively protect the subject image and resist conventional attack. This encryption scheme can provide a new realization method for security transmission and protection of image information. INDEX TERMS Quantum logistic chaotic map, complex hyperchaotic system, arnold matrix, image encryption.

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“…The media encryption technique is a challenging task because of the significant level of sophistication developed by forgers and other cyber criminals. The advanced encryption techniques are used for data storage, secure transmission and retrieval of digital images required for different applications like medical, military, homeland security and so on [1]. Generally, the information security depends upon the quality of the Pseudo Random Number (PRN) employed for the protocols.…”

Section: Introductionmentioning

confidence: 99%

Low Area FPGA Implementation of PRNG-LCC-CSLA Architecture Based on Chaotic Circuit

Thammannagowda¹,

Ramchandra²

2019

IJIES

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In the present days, internet communication is adapting data hiding and cryptography that often needs billions of pseudo random numbers. The Pseudo Random Number Generator (PRNG) is used to fulfill privacy and security needs in most of the applications. In this paper, the PRNG using Lorenz Chaotic Circuit with Carry Select Adder (PRNG-LCC-CSLA) method used to generate the pseudo random numbers. The LCC implemented by using Verilog to generate the pseudo random numbers, and randomness of the LCC results also checked in National Institute of Standards Technology (NIST) testing scheme. Encryption process is implemented by employing binary value of both text and image. Decryption process is implemented by employing same LCC binary value of encrypted data. At last, the Matlab is used to observe the text and image data. The Field Programmable Gate Array (FPGA) results showed how Look Up Table (LUT), slice, flip-flop and frequency improved and Application Specific Integrated Circuit (ASIC) results showed area, power, delay, Area Power Product (APP) and Area Delay Product (ADP) improvements in the PRNG-LCC-CSLA method compared to the existing methods.

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Color encryption scheme based on adapted quantum logistic map

Cited by 8 publications

References 5 publications

Logistics Optimization Strategy Based on Deep Neural Framework

Logistics Optimization Strategy Based on Deep Neural Framework

High Intensity Image Encryption Scheme Based on Quantum Logistic Chaotic Map and Complex Hyperchaotic System

Low Area FPGA Implementation of PRNG-LCC-CSLA Architecture Based on Chaotic Circuit

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