Название: Digital Image Security: Techniques and Applications
Автор: Amit Kumar Singh, Stefano Berretti, Ashima Anand
Издательство: CRC Press
Год: 2024
Страниц: 351
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing.

Images serve as crucial data carriers since they are densely packed with digital information. This issue makes it more challenging to securely transmit or retain images than text data. Therefore, image security has emerged as a significant concern for researchers. Images can be shielded from dangers like eavesdropping and unauthorized copying and manipulation with security. Many picture encryption techniques have their roots in the traditional ideas of encryption. These plans render the original graphics incomprehensible. Due to the internet’s recent rapid development, the database needed to store images like fingerprints gathered by Internet of Things (IOT) networks around the world is growing, necessitating more storage capacity and speed. Various studies on image processing have been conducted from classical image processing (CIP) to quantum image processing (QIP), which has aroused interest among academics due to the rapid growth of quantum calculations. Because of the quantum properties of coherence, entanglement, superposition, and parallelism, quantum information processing (QIP) is a growing topic and a great tool for real-­time processing.

Information security is more crucial for data storage and transmission today. Images are employed in many procedures since they may convey a lot more info. As a result, picture encryption and decryption algorithms play a crucial role in the security of image data. Digital images are employed in a variety of industries, including the medical, military, and private sectors. In a public setting, when unauthorized users and hostile attackers are present, safe communication between two parties is accomplished using cryptography. Encryption and decryption are two operations carried out at the transmitter and receiver ends, respectively, in cryptography.

A multi-layer encryption with AES and Twofish encryption algorithm for smart assistant security: The applied encryption mechanism, i.e., the designed encryption algorithm method, determines the security of the IoT information network. The objective of the research is to build a multilayer, reliable system of cloud sequences that uses cloud computing and the AES algorithm. This system can be used on cloud computers and integrated into the biological environment. By making a main key and a rule key, this method can protect the cloud sequence over cloud-­based fog computing platforms from plain-­text attacks. The study makes a number of contributions, such as (i) a multilayer encryption algorithm that uses both Identity-­Based Encryption (IBE) and the AES algorithm; (ii) a reliable encryption technique for IoT-­based smart assistant security systems; (iii) an encryption technique that reduces the length of messages and, therefore, the number of complex mathematical operations; and (iv) an encryption technique that improves encryption power and adds more security and complexity to multilayer AES and IBE.

This book:

Presents new ideas, approaches, theories, and practices with a focus on digital image security and privacy solutions for real-world applications.
Discusses security in cloud-based image processing for smart city applications.
Provides an overview of innovative security techniques that are being developed to ensure the guaranteed authenticity of transmitted, shared, or stored digital images.
Highlights approaches such as watermarking, blockchain, and hashing. to secure digital images in artificial intelligence, machine learning, cloud computing, and temper detection environments.
Explains important topics such as biometric imaging, blockchain for digital data security, and protection systems against personal identity theft.

It will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.






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