Editors: Vinod Kumar, Mandeep Mittal, Adesh Kumari

Series Title: Computational Intelligence for Data Analysis

Optimization Techniques for Decision-making and Information Security

Volume 3

eBook: US $39 Special Offer (PDF + Printed Copy): US $67
Printed Copy: US $47
Library License: US $156
ISBN: 978-981-5196-33-7 (Print)
ISBN: 978-981-5196-32-0 (Online)
Year of Publication: 2024
DOI: 10.2174/97898151963201240101

Introduction

Optimization Techniques for Decision-making and Information Security is a scholarly compilation that has been edited by experts with specialized knowledge in the fields of decision theory and cybersecurity. Through the synthesis of an extensive array of information, this edited volume presents novel methodologies and approaches that forge a link between the critical domain of information security and the realm of decision-making processes.

The publication commences with a fundamental investigation that establishes the theoretical foundations of information security-relevant decision-making models. The subsequent chapters present comprehensive evaluations of real-world applications, showcasing an assortment of optimization techniques. The book offers a wide range of perspectives on the practical implementation of data analysis in various domains, including but not limited to power generation and optimization, solid transportation problems, soft computing techniques, wireless sensor networks, parametric set-valued optimization problems, data aggregation optimization techniques, fuzzy linear programming problems, and nonlinear chaotic systems. The anthology concludes with a comprehensive summary of the most noteworthy observations and ramifications extracted from the projects of all contributors.

Key features

  • - Presents a wide variety of sophisticated optimization methodologies
  • - Explores the intricate intersection of decision theory and the safeguarding of confidential information.
  • - Emphasizes effectiveness in improving decision-making processes designed to strengthen information security measures.
  • - Showcases practical examples in different industrial domains through case studies and real-world problems.
  • - Provides guidance and contemplations on strengthening information security environments.
  • - Includes scientific references for advanced reading

This book serves as an essential reference for policymakers, researchers, and professionals who are learning about or working in information security roles.

Readership

Policymakers, researchers, and professionals in information security roles.

Preface

In the modern era, there is a need for data in every field. To improve the business and related fields, data is an important key for future directions. For this purpose, there are requirements for data analysis via computational approaches in every direction. Businesses are now able to efficiently monitor their operations and manage their computationally by gauging customer preferences thanks to the use of data, the implementation of creative strategies, and technology.

We believe that this book will be a pioneering book focusing on research in computational intelligent data analysis. It presents numerous viewpoints on the application of data analysis in various fields, such as cost optimization analysis, Markovian feedback queuing systems, parametric set-valued optimization problems, data aggregation optimized technique, fuzzy linear programming problems, nonlinear chaotic systems, production of power, nonlinear control methods, solid transportation problems, soft computing techniques, wireless sensor network, pairing free certificateless signature schemes and tie-breaking procedures using the fuzzy approach. For professionals, educators, and academics working in the areas of data and its applications, this publication offers an extensive reference source. It is structured in such a way that it begins with data analysis in different domains. We are delighted to learn that this book has produced a significant number of insightful observations and fresh research findings on issues pertaining to data and different applications in many directions.

Vinod Kumar
Department of Mathematics
PGDAV College, University of Delhi
New Delhi-110065
India

Mandeep Mittal
Department of Mathematics Amity
Institute of Applied Sciences Amity University Uttar Pradesh Sector-125
Noida UP-201313
India

&

Adesh Kumari
Department of Mathematics
Dyal Singh College, University of Delhi
New Delhi-110003
India