Hybrid image steganography method using Lempel Ziv Welch and genetic algorithms for hiding confidential data

Almawgani, Abdulkarem H. M.; Alhawari, Adam R. H.; Hindi, Ayman Taher; Al-Arashi, Waled Hussein; Al-Ashwal, A. Y.

doi:10.1007/s11045-021-00793-w

Cited by 10 publications

(4 citation statements)

References 19 publications

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“…On the one hand, it communicates with the terminal of the perception control layer through ZigBee or other interfaces and forwards the data sent by the terminal to the server or forwards the remote control command of the server to the terminal, and on the other hand, it has Ethernet, Wi-Fi, or GPRS, etc. This communication interface can access the local area network of the cell to communicate with the remote server [ 11 ].…”

Section: Methodsmentioning

confidence: 99%

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Nan

2022

Computational Intelligence and Neuroscience

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Aiming at the problems of poor layout design efficiency of smart home products and low rationality of layout planning, a layout design method for smart home products based on a real-number coding genetic algorithm is proposed. The principles of smart home product layout design are analyzed and the smart home system architecture based on the Internet of Things is designed. Divide the combination of smart home product layout space according to spatial function, extract the visual features of smart home product layout, build a smart home product layout optimization model based on the two constraints of the total area and individual area of smart home product spatial layout, and design a real-coded genetic algorithm. The model is solved to improve the global convergence of the algorithm, and the optimization method for the layout of smart home products is obtained. The experimental results show that the layout design method of smart home products based on a real-number coding genetic algorithm can accurately extract the layout features of smart home products and accurately classify the number of pairs of homes. The efficiency of layout design and rationality of layout planning of smart home products are better, which reflects the effectiveness of this method.

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Section: Methodsmentioning

confidence: 99%

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Nan

2022

Computational Intelligence and Neuroscience

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“…The ciphertext is injected using a 3, 3, 2 LSB replacement approach after encryption. In Almawgani et al (2022) , a hybrid steganography approach is developed that uses the Haar Discrete Wavelet Transform (HDWT), the Lempel Ziv Welch (LZW) algorithm, the Genetic Algorithm (GA), and the Optimal Pixel Adjustment Process (OPAP). The proposed article separates the cover picture into (n x n) pixels in non-overlapping chunks.…”

Section: Related Workmentioning

confidence: 99%

An efficient and secure technique for image steganography using a hash function

Nezami

Ali

Asif

et al. 2022

PeerJ Computer Science

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Steganography is a technique in which a person hides information in digital media. The message sent by this technique is so secret that other people cannot even imagine the information’s existence. This article entails developing a mechanism for communicating one-on-one with individuals by concealing information from the rest of the group. Based on their availability, digital images are the most suited components for use as transmitters when compared to other objects available on the internet. The proposed technique encrypts a message within an image. There are several steganographic techniques for hiding hidden information in photographs, some of which are more difficult than others, and each has its strengths and weaknesses. The encryption mechanism employed may have different requirements depending on the application. For example, certain applications may require complete invisibility of the key information, while others may require the concealment of a larger secret message. In this research, we proposed a technique that converts plain text to ciphertext and encodes it in a picture using up to the four least significant bit (LSB) based on a hash function. The LSBs of the image pixel values are used to substitute pieces of text. Human eyes cannot predict the variation between the initial Image and the resulting image since only the LSBs are modified. The proposed technique is compared with state-of-the-art techniques. The results reveal that the proposed technique outperforms the existing techniques concerning security and efficiency with adequate MSE and PSNR.

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“…I NFORMATION hiding, also known as steganography, is a technology that utilizes the sensory redundancy of human sense organ to embed secret information into the carrier in an undetected way. The choice of carriers is diverse, such as videos [1], [2], images [3], [4], audios [5], [6], speeches [7], [8], texts [9], [10], and so so. In recent years, with the rapid development of network information technology, voice over IP (VoIP) gradually plays an important role in daily communication of human beings.…”

Section: Introductionmentioning

confidence: 99%

Steganalysis of Compressed Speech Based on Global and Local Correlation Mining

et al. 2022

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Most of the existing steganalysis methods are designed for specific steganography methods in low-bit-rate compressed speech stream and lack of generalization ability. In practical applications, the steganography methods in compressed speech are various and cannot be predicted in advance. We can only employ numerous possible steganalysis method to detect, which is laborious and time-consuming, and cannot achieve real-time detection. Therefore, it is necessary to develop a general steganalysis method that can detect multiple steganography methods simultaneously for compressed speech. To this end, we propose a steganalysis method based on global and local correlation mining in this paper. Firstly, we introduce a codeword distributed embedding module to transform the compressed codewords into a compact feature representation. Then, we propose global-guided correlation mining module and local-guided correlation mining module to extract the correlation change before and after steganography in the view of global and local. Finally, the detection results can be obtained by the full connection layers. Experimental results show that the proposed method can reach a better detection performance than the existing steganalysis methods at different embedding rates and speech lengths.

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Hybrid image steganography method using Lempel Ziv Welch and genetic algorithms for hiding confidential data

Cited by 10 publications

References 19 publications

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

Smart Home Product Layout Design Method Based on Real-Number Coding Genetic Algorithm

An efficient and secure technique for image steganography using a hash function

Steganalysis of Compressed Speech Based on Global and Local Correlation Mining

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