An essential part of cloud computing, IoT, and in general the broad field of digital systems, is
constituted by the mechanisms which provide access to a number of services or …

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 …

In this paper, we propose a new biometric template protection scheme, which can deal with
the finger vein biometric security threats, through using the LDM and RetinexGAN model …

Most current security and authentication systems are based on personal biometrics. The
security problem is a major issue in the field of biometric systems. This is due to the use in …

Many government and commercial organizations are using biometric authentication systems
instead of a password or token-based authentication systems. They are computationally …

The need for high-speed and secure multi-biometric systems has grown in the last few
decades. The progress in Internet applications and computer networks has prompted new …

Most of the chaotic maps are not suitable for chaos-based cryptosystems due to their narrow
chaotic parameter range and lacking of strong unpredictability. This work presents a …

The security issue is essential in the Internet-of-Things (IoT) environment. Biometrics play an
important role in securing the emerging IoT devices, especially IoT robots. Biometric …

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

Abstract The Internet of Bio-Nano Things concept (IoBNT) emerged from the need to
establish connections between biological nanomachines, the intra-body nanonetwork, and …