ArticleSensors (Basel, Switzerland)2020
Analytical Study of Hybrid Techniques for Image Encryption and Decryption.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Generative Adversarial Network and Chaotic Map-Based Multi-Layer Medical Image Encryption.Sensors (Basel, Switzerland) · 2026Article
- Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography.Scientific reports · 2025Article
- Dress-up: deep neural framework for image-based human appearance transfer.Multimedia tools and applications · 2023Article
- A Novel Grayscale Image Encryption Scheme Based on the Block-Level Swapping of Pixels and the Chaotic System.Sensors (Basel, Switzerland) · 2022Article
- Hyperspectral Image Classification: Potentials, Challenges, and Future Directions.Computational intelligence and neuroscience · 2022Review
- Method to Increase Dependability in a Cloud-Fog-Edge Environment.Sensors (Basel, Switzerland) · 2021Article
- LeanNet: An Efficient Convolutional Neural Network for Digital Number Recognition in Industrial Products.Sensors (Basel, Switzerland) · 2021Article
- Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm.Sensors (Basel, Switzerland) · 2021Article
- Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation.Sensors (Basel, Switzerland) · 2021Article
- Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging.Sensors (Basel, Switzerland) · 2021Article
- Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate.Frontiers in public health · 2021Article
- Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning.Computational and mathematical methods in medicine · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The majority of imaging techniques use symmetric and asymmetric cryptography algorithms to encrypt digital media. Most of the research works contributed in the literature focus primarily on the Advanced Encryption Standard (AES) algorithm for encryption and decryption. This paper propose an analysis for performing image encryption and decryption by hybridization of Elliptic Curve Cryptography (ECC) with Hill Cipher (HC), ECC with Advanced Encryption Standard (AES) and ElGamal with Double Playfair Cipher (DPC). This analysis is based on the following parameters: (i) Encryption and decryption time, (ii) entropy of encrypted image, (iii) loss in intensity of the decrypted image, (iv) Peak Signal to Noise Ratio (PSNR), (v) Number of Pixels Change Rate (NPCR), and (vi) Unified Average Changing Intensity (UACI). The hybrid process involves the speed and ease of implementation from symmetric algorithms, as well as improved security from asymmetric algorithms. ECC and ElGamal cryptosystems provide asymmetric key cryptography, while HC, AES, and DPC are symmetric key algorithms. ECC with AES are perfect for remote or private communications with smaller image sizes based on the amount of time needed for encryption and decryption. The metric measurement with test cases finds that ECC and HC have a good overall solution for image encryption.
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