Secure Massive IoT Using Hierarchical Fast Blind Deconvolution

A Fast Algorithm for Single Motion Image Deblurring

The blurred image blind restoration is a difficult problem of image processing. The key is the estimation of the Point Spread Function and non-blind deconvolution algorithm. In this paper, we propose a fast robust algorithm based on radon transform-domain to determine the blur kernel function. Then the blurred images are restored by using a modified fast non-blind deconvolution method based on ...

GSLHA: Group-based Secure Lightweight Handover Authentication Protocol for M2M Communication

Machine to machine (M2M) communication, which is also known as machine type communication (MTC), is one of the most fascinating parts of mobile communication technology and also an important practical application of the Internet of Things. The main objective of this type of communication, is handling massive heterogeneous devices with low network overheads and high security guarantees. Hence, v...

A Fast Fixed-Point Neural Blind Deconvolution Algorithm

The aim of the present Letter is to introduce a new blind deconvolution algorithm based on fixed-point optimization of a ‘Bussgang’-type cost function. The cost function relies on approximate Bayesian estimation achieved by an adaptive neuron. The main feature of the presented algorithm is fast convergence that guarantees good deconvolution performances with limited computational demand compare...

Fast Bayesian blind deconvolution with Huber Super Gaussian priors

Ultra Low Power Symmetric Pass Gate Adiabatic Logic with CNTFET for Secure IoT Applications

With the advent and development of the Internet of Things, new needs arose and more attention was paid to these needs. These needs include: low power consumption, low area consumption, low supply voltage, higher security and so on. Many solutions have been proposed to improve each one of these needs. In this paper, we try to reduce the power consumption and enhance the security by using SPGAL, ...