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AI-Based Metaheuristics for Information Security and Digital Media

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Absolute Percentage Error
advanced fake news detection systems
adversarial attacks
Ai Tool
Artificial Intelligence
Binary Watermark
Blockchain Applications
Blockchain Technologies
Category=PBT
Category=UR
Category=UYA
Category=UYQ
computational security
Daily Close Price
Deep Learning
Deep Learning Algorithms
Digital Media
ensemble learning methods
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fake News
HWES
Image Attacks
Image Watermarking
Information Security
Inter-model Comparison
IWT
Machine Learning
media forensics
PCA dimensionality reduction
Random Subspace Method
RBF Kernel
Roc Curve
Smart Contracts
statistical feature reduction
Stock Price Prediction
SVM Training
Time Series Forecasting
Unique Time Series Data
Watermark Bit
Watermark Embedding
Watermark Extraction
Watermarking Scheme
Zero Knowledge Proof

Product details

  • ISBN 9780367615420
  • Weight: 340g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Jul 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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.
About

Dr Apoorva S Shastri is a Research Assistant Professor at Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete and combinatorial optimization, complex systems, manufacturing and self-organizing systems. She has developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm and Expectation Algorithm.

Dr Mangal Singh is an Associate Professor at Symbiosis Institute of Technology, Symbiosis International (Deemed University). His main research interests are the development and application of optimization heuristics algorithms and their applications to various engineering fields. He is also working on signal processing for 6G and beyond wireless communication.

Dr Anand J Kulkarni is working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, swarm optimization and self-organizing systems.

Dr Patrick Siarry is a Professor in automatics and informatics. His main research interests are the development of new stochastic global optimization heuristics and their applications to various engineering fields. He is also interested in the fitting of process models to experimental data, the learning of fuzzy rule bases and of neural networks.