Outputs (7)

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data (2023)
Presentation / Conference Contribution
Shahbaz Khan, M., Ahmad, J., Ali, H., Pitropakis, N., Al-Dubai, A., Ghaleb, B., & Buchanan, W. J. (2023, October). SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data. Presented at 9th International Conference on Engineering and Emerging Technologies (IEEE ICEET 2023), Istanbul, Turkey

With the advent of digital communication, securing digital images during transmission and storage has become a critical concern. The traditional s-box substitution methods often fail to effectively conceal the information within highly auto-correlate... Read More about SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data.

A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm (2023)
Journal Article
Yasin Ghadi, Y., Alshehri, M. S., Almakdi, S., Saidani, O., Alturki, N., Masood, F., & Shahbaz Khan, M. (2023). A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm. Computers, Materials & Continua, 77(1), 781-797. https://doi.org/10.32604/cmc.2023.042777

Securing digital image data is a key concern in today’s information-driven society. Effective encryption techniques are required to protect sensitive image data, with the Substitution-box (S-box) often playing a pivotal role in many symmetric encrypt... Read More about A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm.

Noise-Crypt: Image Encryption with Non-linear Noise, Hybrid Chaotic Maps, and Hashing (2023)
Presentation / Conference Contribution
Asghar, L., Ahmed, F., Khan, M. S., Arshad, A., & Ahmad, J. (2023, October). Noise-Crypt: Image Encryption with Non-linear Noise, Hybrid Chaotic Maps, and Hashing. Presented at 2023 International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkiye

To secure the digital images over insecure transmission channels, a new image encryption algorithm Noise-Crypt is proposed in this paper. Noise-Crypt integrates nonlinear random noise, hybrid chaotic maps, and SHA-256 hashing algorithm. The utilized... Read More about Noise-Crypt: Image Encryption with Non-linear Noise, Hybrid Chaotic Maps, and Hashing.

CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption (2023)
Presentation / Conference Contribution
Ali, H., Khan, M. S., Driss, M., Ahmad, J., Buchanan, W. J., & Pitropakis, N. (2023, October). CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption. Presented at 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, Hong Kong

In the era of Industrial IoT (IIoT) and Industry 4.0, ensuring secure data transmission has become a critical concern. Among other data types, images are widely transmitted and utilized across various IIoT applications, ranging from sensor-generated... Read More about CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption.

FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices (2023)
Journal Article
Ahmad, K., Khan, M. S., Ahmed, F., Driss, M., Boulila, W., Alazeb, A., Alsulami, M., Alshehri, M. S., Ghadi, Y. Y., & Ahmad, J. (2023). FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices. Fire Ecology, 19, Article 54. https://doi.org/10.1186/s42408-023-00216-0

Background: Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just a risk to the environment, b... Read More about FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices.

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants (2023)
Journal Article
Tahir, H., Shahbaz Khan, M., Ahmed, F., M. Albarrak, A., Noman Qasem, S., & Ahmad, J. (2023). Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants. Computers, Materials & Continua, 75(2), 3517-3535. https://doi.org/10.32604/cmc.2023.035410

The COVID-19 outbreak began in December 2019 and was declared a global health emergency by the World Health Organization. The four most dominating variants are Beta, Gamma, Delta, and Omicron. After the administration of vaccine doses, an eminent dec... Read More about Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants.

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder (2023)
Journal Article
Ahmed, F., Rehman, M. U., Ahmad, J., Khan, M. S., Boulila, W., Srivastava, G., Lin, J. C.-W., & Buchanan, W. J. (2023). A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder. ACM transactions on multimedia computing communications and applications, 19(3s), Article 128. https://doi.org/10.1145/3570165

With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encrypting large-sized colour images in their original dimension generally... Read More about A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder.