2022
DOI: 10.21123/bsj.2022.19.1.0179
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Retina Based Glowworm Swarm Optimization for Random Cryptographic Key Generation

Abstract: The biometric-based keys generation represents the utilization of the extracted features from the human anatomical (physiological) traits like a fingerprint, retina, etc. or behavioral traits like a signature. The retina biometric has inherent robustness, therefore, it is capable of generating random keys with a higher security level compared to the other biometric traits. In this paper, an effective system to generate secure, robust and unique random keys based on retina features has been proposed for cryptog… Show more

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Cited by 8 publications
(9 citation statements)
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“…Compared to double-scroll oscillators like Lorenz, they offer richer dynamics and a larger maximum Lyapunov exponent 18,19 . This type of system has many practical uses, such as secure communications 20 , encryption 21,22 , random number generating 23 , autonomous mobile robots 24 , and other technical fields. Now, consider the simplest family of systems with 𝑛scroll chaotic attractor 25 .…”
Section: Limit Cycles Of 𝒏-Scroll Chaotic Attractormentioning
confidence: 99%
“…Compared to double-scroll oscillators like Lorenz, they offer richer dynamics and a larger maximum Lyapunov exponent 18,19 . This type of system has many practical uses, such as secure communications 20 , encryption 21,22 , random number generating 23 , autonomous mobile robots 24 , and other technical fields. Now, consider the simplest family of systems with 𝑛scroll chaotic attractor 25 .…”
Section: Limit Cycles Of 𝒏-Scroll Chaotic Attractormentioning
confidence: 99%
“…The process of calculating the vicinity space is done through the addition or subtraction of a value of one from one bit of the solution S that is selected randomly, where this process is done for each solution S 25,26 . In addition to that, there is an adaptive value (Adp) which is used to specify if the mathematical operation is plus or minus that is applied to the targeted bit as we can see in algorithm 3.…”
Section: The Vicinity Spacementioning
confidence: 99%
“…In biometrics, the face, retina, and fingerprints are not the same in another person. Therefore, they can be used to generate random keys in cryptographic applications [22]. The original retina color image of any format or size is read as a matrix, and then it is converted to a grayscale form, generally from 0 (black) to 255 (white).…”
Section: Preprocessingmentioning
confidence: 99%
“…Feature extraction is an important stage in image processing, computer vision, data mining and image retrieval [23]. The retina is one of the wellsprings of biometric systems which [24] has inherent robustness [22] and give an efficient and reliable method for authentication [24], [25]. The feature extraction of the retina vessels is computing feature vectors to get a compact representation of the original retina [12], [26], [27].…”
Section: Feature Extractionmentioning
confidence: 99%