The common use of the Internet and cloud services in transmission of large amounts of data over open networks and insecure channels, exposes that private and secret data to serious situations. Ensuring the information transmission over the Internet is safe and secure has become crucial, consequently information security has become one of the most important issues of human communities because of increased data transmission over social networks. Digital Media Steganography: Principles, Algorithms, and Advances covers fundamental theories and algorithms for practical design, while providing a comprehensive overview of the most advanced methodologies and modern techniques in the field of steganography. The topics covered present a collection of high-quality research works written in a simple manner by world-renowned leaders in the field dealing with specific research problems. It presents the state-of-the-art as well as the most recent trends in digital media steganography. - Covers fundamental theories and algorithms for practical design which form the basis of modern digital media steganography - Provides new theoretical breakthroughs and a number of modern techniques in steganography - Presents the latest advances in digital media steganography such as using deep learning and artificial neural network as well as Quantum Steganography

Understand the building blocks of covert communication in digital media and apply the techniques in practice with this self-contained guide.

Describes Information Hiding in communication networks, and highlights their important issues, challenges, trends, and applications. Highlights development trends and potential future directions of Information Hiding Introduces a new classification and taxonomy for modern data hiding techniques Presents different types of network steganography mechanisms Introduces several example applications of information hiding in communication networks including some recent covert communication techniques in popular Internet services

Steganography is the art of secret writing. The purpose of steganography is to hide the presence of a message from the intruder by using state-of-the-art methods, algorithms, architectures, models, and methodologies in the domains of cloud, internet of things (IoT), and the Android platform. Though security controls in cloud computing, IoT, and Android platforms are not much different than security controls in an IT environment, they might still present different types of risks to an organization than the classic IT solutions. Therefore, a detailed discussion is needed in case there is a breach in security. It is important to review the security aspects of cloud, IoT, and Android platforms related to steganography to determine how this new technology is being utilized and improved continuously to protect information digitally. The benefits and challenges, along with the current and potential developments for the future, are important keystones in this critical area of security research. Multidisciplinary Approach to Modern Digital Steganography reviews the security aspects of cloud, IoT, and Android platforms related to steganography and addresses emerging security concerns, new algorithms, and case studies in the field. Furthermore, the book presents a new approach to secure data storage on cloud infrastructure and IoT along with including discussions on optimization models and security controls that could be implemented. Other important topics include data transmission, deep learning techniques, machine learning, and both image and text stenography. This book is essential for forensic engineers, forensic analysts, cybersecurity analysts, cyber forensic examiners, security engineers, cybersecurity network analysts, cyber network defense analysts, and digital forensic examiners along with practitioners, researchers, academicians, and students interested in the latest techniques and state-of-the-art methods in digital steganography.

This book provides a selection of chapters on the subject of steganography. Steganography is the practice of undetectably altering a digital work to embed a message. The undetectability of the message in the altered work is an essential property of steganography, whereas the required alterations in the work may be perceived as long as the hidden information is undetectable and therefore also undecipherable by non-authorized parties. The design of a steganographic algorithm concerns the properties of the communication medium or channel; the cover work, usually in digital format; and the functions of embedding and decoding the message. As cybersecurity becomes increasingly essential to communications worldwide, hidden or undetectable communication provided by enhanced steganography techniques enables the secure information sharing required by many applications. For business, governmental, or personal sharing of information via communication networks, countermeasures need to be taken to ensure that a third party is unable to detect the existence of a message embedded in the work and to avoid even attempts at decoding the information without the authorization of the sender. The property of undetectability of steganography along with cryptographic techniques has derived secure information schemes in the literature and has been applied in practice. The issues and properties of steganography have been investigated by scientists and practitioners in order to evolve techniques to improve security while sharing information on the open network. This book offers chapters on steganography ranging from definitions to the basics issues and properties, scientific research on diverse techniques, applications for a variety of areas (cybersecurity, military or defense, law enforcement, healthcare, financial services, etc.), and discussions on future applications and current research on the topic.

This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics. It presents original theoretical and empirical chapters dealing with both offensive and defensive aspects in this field. Chapters address fundamental theory, current trends and techniques for evading detection, as well as practical experiences concerning detection and defensive strategies for the botnet ecosystem, and include surveys, simulations, practical results, and case studies.

"Digital forensics is the science of collecting the evidence that can be used in a court of law to prosecute the individuals who engage in electronic crime"--Provided by publisher.

This book constitutes the refereed proceedings of the 5th International Workshop on Digital Watermarking Secure Data Management, IWDW 2006, held in Jeju Island, Korea in November 2006. The 34 revised full papers presented together with 3 invited lectures cover both theoretical and practical issues in digital watermarking.

In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels. Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals.

The book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.