Enhanced Image Encryption Using Two Chaotic Maps

Salman, Fatimah Abdulnabi; Salman, Khitam Abdulnabi

doi:10.5614/itbj.ict.res.appl.2020.14.2.3

Cited by 3 publications

(3 citation statements)

References 16 publications

(24 reference statements)

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“…A. Enhanced Image Encryption using Chaotic Maps [1] A research paper by S. Patel and J. Lee [1] titled "Enhanced Image Encryption using Chaotic Maps" published in August 2020 presents an innovative approach to image encryption. It focuses on advanced encryption techniques and uses chaotic maps to introduce increased security by infusing randomness into the encryption process.…”

Section: Literature Survey Overviewmentioning

confidence: 99%

Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement

Kumar H S,

Nab,

M R

et al. 2024

IJSREM

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The proposed project "Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement" addresses the critical need to increase public safety through a sophisticated security surveillance system. This multi-faceted system integrates core functions including real-time object detection, encrypted image capture, secure email alerts and comprehensive security measures. Different algorithms are used for face detection, which allows the system to continuously evolve and improve its object detection capabilities and adapt to real-world scenarios. The primary goal is to identify specific objects in public spaces and thus contribute to safer communities. The project further prioritizes the protection of captured and transmitted data, implementing strict security measures to protect against attempts to hack email accounts and decrypt images. This project represents a significant leap forward in security and surveillance, offering a versatile and adaptable solution designed to effectively address evolving public safety challenges.. Keywords — Encryption, Decryption, Cryptography, Object Detection, RNS, Machine learning algorithms.

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Section: Literature Survey Overviewmentioning

confidence: 99%

Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement

Kumar H S,

Nab,

M R

et al. 2024

IJSREM

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“…The primary purpose of the histogram is to determine the distribution of the pixels of the image and obtain relevant information. The encryption process aims to remove the differences between the pixels, which prevents the attacker from obtaining information that helps to reveal the image [21], [22]. Figure 5…”

Section: Histogram Analysismentioning

confidence: 99%

Image encryption based on combined between linear feedback shift registers and 3D chaotic maps

Allawi

Mustafa

2023

IJEECS

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Protecting information sent through insecure internet channels is a significant challenge facing researchers. In this paper, we present a novel method for image data encryption that combines chaotic maps with linear feedback shift registers in two stages. In the first stage, the image is divided into two parts. Then, the locations of the pixels of each part are redistributed through the random numbers key, which is generated using linear feedback shift registers. The second stage includes segmenting the image into the three primary colors red, green, and blue (RGB); then, the data for each color is encrypted through one of three keys that are generated using three-dimensional chaotic maps. Many statistical tests (entropy, peak signal-noise ratio (PSNR), mean square error (MSE) and correlation) were conducted on a group of images to determine the strength and efficiency of the proposed method, and the result proves that the proposed method provided a good level of safety. The obtained results were compared with those of other methods, and the result of comparing confirms the superiority of the proposed method.

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“…A histogram is employed to determine how pixels are arranged in an image and to learn more about the image's features. One method for attackers to discover an original image is to get the histogram of the encrypted image [27].…”

Section: Histogram Analysismentioning

confidence: 99%

Color Image Encryption Using LFSR, DNA, and 3D Chaotic Maps

Allawi

Alshibani

2022

Int. j. electr. comput. eng. syst. (Online)

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One of the most important challenges facing researchers is to find new methods to protect data sent over the Internet and prevent unauthorized access to it. In this paper, we present a new method for encrypting image data divided into two stages. The first stage requires redistributing the positions of the pixels by using a key of random numbers generated by linear feedback shift registers and then encrypting the data using deoxyribonucleic acid rules. The data generated in the previous stage is encrypted again using chaotic maps to increase the level of security in the second stage. Several statistical tests were implemented to verify the efficiency of the proposed method and compare the results with the work of other researchers. The results of the tests proved a reasonable safety rate compared to other techniques.

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Enhanced Image Encryption Using Two Chaotic Maps

Cited by 3 publications

References 16 publications

Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement

Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement

Image encryption based on combined between linear feedback shift registers and 3D chaotic maps

Color Image Encryption Using LFSR, DNA, and 3D Chaotic Maps

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