The book delves into the fundamentals of steganography, the ancient art of hiding messages in plain sight. From the historical roots to modern applications, readers are taken on a journey through the techniques that transform seemingly ordinary content into carriers of covert communication. The book not only demystifies the basics of steganography but also sheds light on its contemporary applications in digital security, forensics, and confidential messaging. "Hidden Ink" is a captivating guide for both enthusiasts eager to unravel secrets and professionals seeking insights into the nuanced realm of steganography.
This book suggests secrecy and mystique, inviting readers to explore a concealed world. The term "Ink" implies the written aspect of communication, tying in with the book's focus on the art of hiding information. The phrase "Unveiling the Art of Steganography" directly communicates the book's purpose. It signals that the book will reveal the secrets and techniques behind steganography, making it an educational and informative resource. The title strikes a balance between intrigue and clarity. It sparks interest without being overly cryptic, making it accessible to a broad audience, from enthusiasts to those with a professional interest in the subject. The "Unveiling the Art of Steganography" creates a memorable and distinctive title. This is important for marketing and ensuring that the book stands out in a crowded literary landscape.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional Practice & Development, Professional Reference, and Professional Training
Illustrationen
29 s/w Photographien bzw. Rasterbilder, 54 s/w Zeichnungen, 20 s/w Tabellen, 83 s/w Abbildungen
20 Tables, black and white; 54 Line drawings, black and white; 29 Halftones, black and white; 83 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-032-82107-8 (9781032821078)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Urmila Pilania (Ph.D.)
Associate Professor, Department of Computer Science & Technology, Manav Rachna University, Faridabad (INDIA).
Contact: +919911306200, urmilapilania@gmail.com
Dr. Urmila Pilania is currently working as Associate Professor in the Department of Computer Science & Technology, at Manav Rachna University, Faridabad. She is having 14 years of experience in academics and research. Dr. Urmila Pilania received the Engineering degree (B. TECH. in Computer Science & Engineering) in 2007 from Guru Jambheshwar University of Science and Technology, Hisar - Haryana (India). Dr. Urmila has earned master's degree (M.TECH. in Computer Science & Technology) in 2009 from Vaish College of Engineering, Rohtak- Haryana. Dr. Pilania has been awarded with the doctoral degree (Ph.D. in Computer Science & Technology) degree in 2021 from Manav Rachna University, Faridabad, India. Her primary research interests are in Information Security, Image Processing, Machine Learning and Artificial Intelligence.
Dr. Urmila has published many research papers related to Information Security, object detection and classification. She is author of more than 34 research publications with journals/Conferences of repute and some papers are under review or in press for publication with leading publisher. Dr. Pilania has published 3 National Patents and 01 Design Patent is under Examination. She has participated in various workshops & FDPs. Dr. Pilania has also been associated with many conferences, journals as a reviewer and a member of their technical committee. She has conducted various special sessions in many reputed conferences. Dr. Pilania has delivered guest lecture in some reputed conferences. and She has chaired many sessions in international conferences. She is currently guiding 03 Ph.D. research scholars.
Dr. Manoj Kumar (Ph.D.)
Associate Professor, Department of Computer Science & Technology, Manav Rachna University, Faridabad (INDIA).
Contact: +918368906788, manojattri003@gmail.com
Dr. Manoj Kumar is presently working as Associate Professor in the Department of Computer Science & Technology, at Manav Rachna University, Faridabad. He has over 14 years of experience including academics, industry & research. He has earned his Ph.D. in the year 2022, in the area of Computer Vision. The title of the thesis work is "Automatic Detection of Moving Object in a Video for smart Surveillance system". His area of expertise is Computer Vision, Artificial Intelligence, Machine Learning, Image Processing, IOT and Blockchain.
Dr. Kumar has published many research papers related to moving object detection and tracking in videos and also extracts features moving object/vehicles from video in real-time video surveillance system. Dr. Kumar has published more than 10 papers in SCIE, SCOPUS, WEB OF SCIENCE indexed journals. Dr. Kumar has presented more than 20 papers in various Scopus Indexed International Conferences. The proceedings of the conferences are Scopus indexed and few of them published as a Book chapters. He has published 4 National Patents. He has participated in various workshops & Faculty development programs.
Apart from these he has been in reviewer board of The International Conference on Disruptive Technologies (ICDT-2023), 4th International Conference on Advancement in Electronics & Communication Engineering AECE - 2023 etc. He has conducted various special sessions in many reputed conferences and workshops. Dr. Kumar has chaired many sessions in various reputed international conferences.
About the Author. Foreword. Preface. Acknowledgements. List of Abbreviations. Glossary. Keywords. Chapter 1 Introduction: Ancient Roots of Steganography. Chapter 2: Symmetric Encryption and XOR-based Model for E-Commerce Ecosystem. Chapter 3: Image Steganography: Techniques, Applications, and Future Directions. Chapter 4: Digital Watermarking Techniques for Multimedia Security: Challenges, Emerging Trends, and Future Directions. Chapter 5 Video Steganography: Techniques, Challenges, and Future Trends. Chapter 6: A Comprehensive Study of Steganalysis Tools: Applications and Challenges. Chapter 7: Exploring Steganography Tools for Embedding Secret Multimedia Files. Chapter 8: Secret Information Hiding in Images using LSB and X-Box Method. Chapter 9: Image Steganography using LSB and Encryption Keys for Safety of Sensitive Information. Chapter 10: A Novel Approach for Design and Implementation of Optimized Robust High-Capacity Video Steganography. Chapter 11: A Substitution-based Reliable and Stable Video Steganography to Hide Multimedia Files. Chapter 12: Challenges and Future Trends in Steganography.
