A Discrete Wavelet Based Watermarking Scheme for Authentication of Medical Images

Abstract

The growth and emergence of telemedicine has resulted into considerable increase in the transfer of medical images between various health centers over computer networks for various purposes, such as diagnosis, clinical interpretation, and archives. The security of these images is a serious concern since these images can be manipulated during their transmission over the network. Moreover, as the authentication of the medical images is required for various legal purposes; the information security requirement specifications specified by various legislative rules must be adhered by the concerned stakeholders. In this research, a discrete wavelet-based watermarking scheme has been proposed for the authentication of medical images. The experimental results obtained have shown that the proposed scheme is a secure one and robust against various common image processing attacks.

Detecting phishing websites using machine learning technique

“…Blacklist and Whitelist approaches are the traditional methods to identify the phishing sites [ 16 – 21 ]. The exponential growth of web domains reduces the performance of the traditional method [ 22 – 24 ].…”

“…Recurrent Neural Network (RNN)—Long Short-Term Memory (LSTM) is one of the ML techniques that presents a solution for the complex real—time problems [ 22 ]. LSTM allow RNN to store inputs for a larger period [ 23 ].…”