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ABOUT THE BOOK

This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, it will enhance information security for society. It includes state-of-the-art research with illustrations and exercises throughout.

TABLE OF CONTENTS

Preface

About the Editors

Contributors

1 Use of artificial intelligence and blockchain technologies in detecting and curbing fake news in journalism

SUCHITRA PATNAIK AND SANTOSH KUMAR BISWAL

2 Blockchain technology-based fake news detection: Applications and future research directions

SUSHEEL YADAV, OM JEE GUPTA, SUSHIL KUMAR GUPTA, AND HARISH BABU

3 Deep learning-based intelligent systems for audio abuse prediction: A survey

KAUSTUBH V. SAKHARE AND RADHIKA V. KULKARNI

4 A comprehensive review of toxicity analysis using deep learning techniques

PRANAV KULKARNI AND ISHAN G. GALA

5 Literature review on zero-knowledge proof and its applications

PRIYA A. SIRSAT AND AAYUSH P. KHANDEKAR

6 Machine learning-based algorithmic comparison for fake news identification

ANURADHA YENKIKAR, KAVITA SULTANPURE, AND MANISH BALI

7 A comprehensive review of classical and deep learning-based time series models

ISHAN G. GALA AND PRANAV KULKARNI

8 Use of technologies in media and communication: Interventions of artificial intelligence in mitigating fake news on social media

SANTOSH KUMAR BISWAL, AMBIKA SANKAR MISHRA, AND NARSINGH MAJHI

9 Robust color image watermarking using IWT and ensemble model with PCA-based statistical feature reduction

SUSHMA JAISWAL AND MANOJ KUMAR PANDEY

Index