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28.8 MB
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7669504B2BD0A77F5068495BD3DBC5F62143D50D
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June 9, 2025, 3:27 p.m.
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(Last updated: June 11, 2025, 10:53 a.m.)
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| ['Mondal B. Multimedia Security. Tools, Techniques, and Applications 2025.pdf'] | 0 bytes |
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2025-06-09
| Uploaded by andryold1 | Size 28.8 MB | Health [ 39 /46 ] | Added 2025-06-09 |
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| Uploaded by IGGGAMESCOM | Size 120.6 MB | Health [ 5 /0 ] | Added 2023-10-22 |
NOTE
SOURCE: Mondal B. Multimedia Security. Tools, Techniques, and Applications 2025
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COVER
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MEDIAINFO
Textbook in PDF format Multimedia security has become one of the most important topics for organizations and individuals. Presenting important state-of-the art multimedia security techniques and algorithms, this book focuses on data encryption, steganography, watermarking, authentication, data hiding, biometric template security, quantum-based video cryptosystems, pan sharpening, and digital signatures to help in protecting the unauthorized access/alteration of multimedia over the Internet and cloud. It also covers the application of machine learning, blockchain, and AI-based methods for multimedia security. Mathematical models used in data hiding and data evaluation techniques are discussed thoroughly to provide a good understanding of the principles of multimedia security. Multimedia security has become one of the most important topics for organizations and individuals. A huge amount of multimedia data like images, audio, and videos are generated every day, and they are transmitted over the Internet. Any user with ill-intent may intercept these data and misuse, tamper, or modify them for personal gain and cause severe damage to the victim. This book on security is thus extremely relevant to the present times. This book presents state-of-the-art multimedia security techniques and algorithms along with the recent advancements in the field. This book consists of 10 chapters, which are organized as follows: Chapter 1 provides a detailed explanation of the overall aspect of multimedia security which includes the definition of multimedia security, the types of multimedia security, data hiding, data encryption, and analysis and evaluation of the data. Moreover, certain mathematical models used in data hiding and data evaluation techniques have been stated and discussed thoroughly to develop a good understanding of the principles of multimedia security. Chapter 2 presents a detailed study of evaluation metrics used for image encryption to analyze the efficiency of various attacks. The pixel values of the encrypted image are altered through the use of an encryption algorithm, resulting in a randomized outcome that conceals any patterns or features. A good encryption algorithm ensures that the correlation coefficient between adjacent pixel values in the encrypted image is close to zero. Visual examination is the primary method of assessing the encrypted image, with the objective of ensuring that the features of the plain image are not visible. However, visual examination alone is not sufficient for evaluating security efficiency, and therefore additional metrics are employed to measure the randomness and effectiveness of the encryption. Chapter 3 demonstrates an AI-based malware analysis using freely available open-source intelligence tools (OSINTs). Analysis shows that malware detection in stego images is indeed challenging due to its hidden behavior and malicious scripts. Chapter 4 provides a detailed discussion of all aspects of biometric template security. Biometric cryptosystems are designed to enhance the security of original biometric templates by combining them with cryptographic keys or generating keys directly from the templates. This ensures that the original biometric data remains secure. There are some essential properties, such as revocability, diversity, security, and performance, which need to be followed to determine the overall effectiveness of a biometric template protection (BTP) technique. Chapter 5 describes an overview of different watermarking schemes for copyright protection of remotely sensed images. Two types of watermarking techniques, in the spatial domain and transform domain for the remotely sensed image, are discussed in detail in this chapter. Chapter 6 presents a blockchain (BC) based security model for smart homes that combines blockchain technology with cloud computing in an effective manner. The model uses a multivariate correlation analysis and identification of correlations between traffic functions to guarantee the safety of the smart home network. Chapter 7 presents a Quantum-based video cryptosystem to encrypt the digital video frames to ensure the privacy of surveillance video. Video surveillance systems are commonly adopted for real-time event detection and video analytics. The proposed system ensures secure video surveillance against cryptanalytic attacks. Chapter 8 focuses on the evaluation of the six pansharpening approaches for satellite image enhancement and attempts to determine the best method for land use classification using the Indian Remote Sensing dataset. In this chapter, the high-resolution color imagery is obtained by using Resourcesat-1 satellite images acquired by the LISS-IV sensor and IRS-P5 (Cartosat-1) images acquired by the PAN sensor. The study also identifies the land use characteristics that are improved through pansharpening techniques. These findings are valuable in assessing the suitability of the pansharpening method for different geospatial applications. Chapter 9 expands on different well-known directed machine learning approaches in detecting the spam and ham comments. Finally, an efficient encryption scheme using convolution operation is proposed in Chapter 10, which is applied to the spatial information of the plain image for generating the keys of the encryption process. The one-time key is also utilized for achieving Shannon’s perfect secrecy. The proposed chaotic feedback convolution is proven against various test cases using simulations
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