The continuous digitization of healthcare services makes them more targeted by security
attackers that attempt to steal the patients' confidential records and hijack their healthcare …

Steganography is a vital security approach that hides any secret content within ordinary
data, such as multimedia. This hiding aims to achieve the confidentiality of the IoT secret …

In the fields of pattern recognition and image processing, deep learning (DL) technology has
been intensively studied. According to the characteristics of multi-modal medical images …

Convolutional neural networks (CNN) are the best deep learning architecture to perform
tumors classification for different imaging modalities: Us, X-ray, CT, and MRI. The scarcity of …

Nowadays, there are massive demands on the broadband multimedia services. Data
security in today's world is an essential issue in different aspects of life such as marketing …

Quaternion algebra has been used to apply the fractional Fourier transform (FrFT) to color
images in a comprehensive approach. However, the discrete fractional random transform …

This paper presents an algorithm for image super-resolution based on CNN. The objective is
to work on medical images including images with tumors for better diagnosis. The CNN is …

Biometric systems have recently become popular for modern security applications.
Unfortunately, these systems have been the target of many hacking attempts. Biometrics in …

Nowadays, cybercriminals are carrying out many forms of cyberattacks. Malware attacks, in
particular, have emerged as one of the most challenging concerns in the cybersecurity area …

Abstract Three-dimensional video (3DV) communication through wireless channels suffers
from bit stream losses. Therefore, the efficient performance of 3DV transmission techniques …