Robust Image Authentication In The Presence Of Noise
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Robust Image Authentication in the Presence of Noise
This book addresses the problems that hinder image authentication in the presence of noise. It considers the advantages and disadvantages of existing algorithms for image authentication and shows new approaches and solutions for robust image authentication. The state of the art algorithms are compared and, furthermore, innovative approaches and algorithms are introduced. The introduced algorithms are applied to improve image authentication, watermarking and biometry. Aside from presenting new directions and algorithms for robust image authentication in the presence of noise, as well as image correction, this book also: Provides an overview of the state of the art algorithms for image authentication in the presence of noise and modifications, as well as a comparison of these algorithms, Presents novel algorithms for robust image authentication, whereby the image is tried to be corrected and authenticated, Examines different views for the solution of problems connected to image authentication in the presence of noise, Shows examples, how the new techniques can be applied to image authentication, watermarking and biometry. This book is written on the one hand for students, who want to learn about image processing, authentication, watermarking and biometry, and on the other hand for engineers and researchers, who work on aspects of robustness against modifications of secure images.
Noise Tolerant Data Authentication for Wireless Communication
This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms – for wired devices – are not sufficient to authenticate data, such as voice, images, and video over wireless channels. The authors propose new mechanisms based on the so-called soft authentication algorithms, which tolerate some legitimate modifications in the data that they protect. The authors explain that the goal of these algorithms is that they are tolerant to changes in the content but are still able to identify the forgeries. The authors go on to describe how an additional advantage of the soft authentication algorithms is the ability to identify the locations of the modifications and correct them if possible. The authors show how to achieve this by protecting the data features with the help of error correcting codes. The correction methods are typically based on watermarking, as the authors discuss in the book. Provides a discussion of data (particularly image) authentication methods in the presence of noise experienced in wireless communication; Presents a new class of soft authentication methods, instead of the standard hard authentication methods, used to tolerate minor changes in image data; Features authentication methods based on the usage of authentication tags as well as digital watermarks.
Security in Autonomous Driving
Author: Obaid Ur-Rehman
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2020-10-12
Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.