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Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding. Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and compressed domain based. Furthermore, the compressed domain based methods are classified into VQ based, BTC based, and JPEG/JPEG2000 based. Focuses specifically on lossless information hiding for images Covers the most common visual medium, images, and the most common compression schemes, JPEG and JPEG 2000 Includes recent state-of-the-art techniques in the field of lossless image watermarking Presents many lossless hiding schemes, most of which come from the authors' publications in the past five years
Information hiding is an area of great interest due to its applications in copyright protection of images, data, passport control, CDs, DVDs, videos and so on. This book presents a sample of recent research results from key researchers. The contributions include: - Copyright protection system; - Video watermarking; - Restoring objects for digital inpainting; - Data embedding scheme; - Robust image watermarking; - Perceptual shaping in digital watermarking; - Image authentication method under JPEG; - Fingerprinting for copyright protection; - Data hiding for halftone images; - Information hiding for digital watermarking. This book is directed to the application engineers, researchers, graduate students, professors and to those who are interested to investigate the information hiding techniques and use them in various applications such as copyright protection of images, data, passport control, CDs, DVDs, videos and so on.
This research book presents a sample of recent advances in information hiding techniques and their applications. It includes: Image data hiding scheme based on vector quantization and image graph coloring The copyright protection system for Android platform Reversible data hiding ICA-based image and video watermarking Content-based invariant image watermarking Single bitmap block truncation coding of color images using cat swarm optimization Genetic-based wavelet packet watermarking for copyright protection Lossless text steganography in compression coding Fast and low-distortion capacity acoustic synchronized acoustic-to-acoustic steganography scheme Video watermarking with shot detection.
Two novel robust lossless data hiding algorithms that do not use modulo-256 to achieve losslessness and hence do not generate salt-and-pepper noise have been invented and developed in this project. One is implemented in spatial domain, another in integer wavelet transform domain. Both are based on patchwork theory and both treat blocks of different content with different embedding schemes. Permutation and error correction codes are utilized to enhance robustness. Extensive experimental works have been conducted and have demonstrated the effectiveness of these two algorithms. These two algorithms have been used in a Unified Authentication Framework for JPEG2000 Images, which has now been included in the final committee draft (FCD) 1.0 of the Security Part of JPEG2000 (JPSEC) standard.
This book constitutes the refereed proceedings of the 6th International Conference on Information Security, ISC 2003, held in Bristol, UK in October 2003. The 31 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 133 submissions. The papers are organized in topical sections on network security, public key algorithms, cryptographic protocols, protocol attacks, attacks on public key cryptosystems, block ciphers, authorization, water marking, software security, and codes and related issues.
This book constitutes the refereed proceedings of the First International Conference on Intelligent Technologies and Applications, INTAP 2018, held in Bahawalpur, Pakistan, in October 2018. The 68 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 251 submissions. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering.
This book describes the need of copyright protection for multimedia objects and develops an invisible image watermarking scheme to serve the purpose of copyright protection. Here intelligent systems are introduced to generate a better visual transparency with increased payload.
This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.
This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.