Image Encryption Based on Multi-Level Keys on RC5 Algorithm

Jamil, Abeer Salim; Rahma, Abdul Monem S.

doi:10.3991/ijim.v16i17.34335

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…In addition, the number of bytes (b) with values ranging from 0 to 255 specifies the security key. Encryption, decryption and key generation are the three elements of RC5 [38].…”

Section: Rivest Ciphermentioning

confidence: 99%

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

2023

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Wireless sensor networks (WSNs) have developed during the past twenty years as a result of the accessibility of inexpensive, short-range, and simple-to-deploy sensors. A WSN technology sends the real-time sense information of a specific monitoring environment to a backend for processing and analysis. Security and management concerns have become hot topics with WSN systems due to the popularity of wireless communication channels. A large number of sensors are dispersed in an unmonitored medical environment, making them not safe from different risks, even though the information conveyed is vital, such as health data. Due to the sensor′s still limited resources, protecting information in WSN is a significant difficulty. This paper presents a hierarchical key management method for safeguarding heterogeneousWSNs on hybrid energy-efficient distributed (HEED) routing. In the proposed method, the Bloom scheme is used for key management and a pseudo-random number generator (PRNG) to generate keys in an efficient method to keep sensor resources. In addition, using cipher block chaining-Rivest cipher 5 (CBC-RC5) in this method achieved cryptography goals such as confidentiality. A comparison is made between the proposed and existing methods such as dynamic secret key management (DSKM) and smart security implementation (SSI) under the same circumstance to determine the performance of the new method. The data transmission in WSN consumes about 71 percent of a sensor′s energy, while encryption computation consumes only 2 percent. As a result, our method reduces the frequency with which data transmissions are made during the key management process. The simulation findings demonstrated that, in comparison to earlier techniques, the proposed method is significantly more secure, flexible, scalable, and energy-efficient. Our proposed method is also able to prevent classifications of node capture attacks.

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“…In addition, the number of bytes (b) with values ranging from 0 to 255 specifies the security key. Encryption, decryption and key generation are the three elements of RC5 [38].…”

Section: Rivest Ciphermentioning

confidence: 99%

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

2023

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“…Facets of the image are retrieved after the pre-processing stage. The retrieved features are often divided into two groups: global features, or features based on appearance, and local features, or features based on geometry [30][31][32][33]. Instead of extracting characteristics from individual face points, the appearance-based method extracts features from the entire face.…”

Section: Feature Extractionmentioning

confidence: 99%

Gender Recognition of Human from Face Images Using Multi-Class Support Vector Machine (SVM) Classifiers

Al-Dujaili

Alrikabi

abed

et al. 2023

Int. J. Interact. Mob. Technol.

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In the realm of robotics and interactive systems, gender recognition is a crucial problem. Considering the several uses it has in security, web search, human-computer interactions, etc., gender recognition from facial photos has garnered a lot of attention. The need to use and enhance gender recognition techniques is felt more strongly today due to a significant development in the design of facial recognition systems. Relatively speaking to other approaches, the progress gained in this area thus far is not exceptional. Thus, a novel method has been adopted in this study to improve accuracy in comparison to earlier research. To create the best rate of accuracy and efficiency in the suggested method of this research, we choose a minimal set of characteristics. Testing on the FERET and UTK-Face datasets reveals that our suggested algorithm has a lower degree of inaccuracy. In this article, the input image of the person's face is pre-processed to extract the right features from the face once the person's face has been recognized. Gender separation is achieved using Multi-class Support Vector Machine (SVM) Classifiers after features from normalized images have been extracted using Histogram Oriented Gradient (HOG), Gabor Filters, and Speeded Up Robust Features (SURF), as well as their combination to select the most appropriate feature from them as input for gender classification. As a feature reduction feature, the Principal Component Analysis (PCA) algorithm is also employed. Using the proposed approach, 98.75% gender recognition precision has been accomplished on the FERET database and a runtime performance of 0.4 Sec. on the UTK-Face database, 97.43% gender recognition accuracy has been accomplished and a runtime performance of 0.5 Sec.

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“…Cryptography is used to store information on the blockchin on the ledger. Blockchain makes use of some cryptography building blocks, such as public key, private key, and hash function [12,[31][32][33][34].…”

Section: Fig 2 Block Chain Implementationmentioning

confidence: 99%

Cyber Security for Medical Image Encryption using Circular Blockchain Technology Based on Modify DES Algorithm

Jamil

Rahma

2023

Int. J. Onl. Eng.

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Recently, with the requirement for protecting the privacy of images transferred over the internet and media networks. The need to protect these images from hacking by unauthorized persons and from the manipulation of these images has become very important in this research, Block chain technology was used for its importance in cybersecurity. To maintain the confidentiality of the patient's medical data, as a result, to solve this problem requires increasing the strength of the key used in the encryption process, which is responsible for ensuring the security of the image .In this paper, it is proposed to use block chain technology with the Data Encryption Standard (DES) algorithm for the purpose of increasing the degree of security of the transmitted images by enhancing the key during the process of encrypting the transmitted images as well as increasing the degree of authentication between the sender and receiver. Experimental outcomes manifested that the security of encryption image that gained via the suggested algorithm is higher, performing the goal of protecting the information of medical image, as presented by the results obtained in Entropy, MSE, and PSNR.

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Image Encryption Based on Multi-Level Keys on RC5 Algorithm

Cited by 4 publications

References 14 publications

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

A Perfect Security Key Management Method for Hierarchical Wireless Sensor Networks in Medical Environments

Gender Recognition of Human from Face Images Using Multi-Class Support Vector Machine (SVM) Classifiers

Cyber Security for Medical Image Encryption using Circular Blockchain Technology Based on Modify DES Algorithm

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