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Full Description
In the era of big data and multi-connectivity via IoTs, protecting and securing multimedia data has become a real necessity and priority for organizations and businesses, but this can be a rather difficult task due to the heterogeneous nature of platforms and data sets. It is therefore essential to improve the security level of multimedia information by developing core technologies to prevent the loss and damage of information during processing and transmission.
This book covers innovations and future perspectives in access control and security monitoring of multimedia Information processing and transmission. The authors present cybersecurity, privacy and control methods and technologies integrated with blockchain and multimedia AI, including encryption and watermarking techniques, wearable-based IoT security methods, multimedia data forensics and deepfake video security monitoring.
This will be a useful reference for researchers, engineers and scientists in both academia and industry as well as lecturers and advanced students for developing efficient methods, frameworks and techniques for multimedia information processing security and privacy. It will also be of interest to multimedia platform and system developers and designers.
Contents
Chapter 1: Introduction
Chapter 2: Detection of secret information in the processing of multimedia information
Chapter 3: Machine/Deep learning techniques for multimedia security
Chapter 4: Preserving multimedia information security through the use of fractal-based cryptosystems: trends and challenges
Chapter 5: Secure interaction and processing of multimedia data in the Internet of Things based on wearable devices
Chapter 6: Blockchain-envisioned arbitrable multimedia data auditing based on post quantum computing paradigm in IoT
Chapter 7: Trustworthy grant-free random access in an shared untrusted network: dilemma, solution, and evaluation
Chapter 8: Image compression-encryption scheme using SPIHT and 2D-BCM
Chapter 9: Security of an image utilizing modified use of DWT and SVD along with multiple watermarking
Chapter 10: Privacy-preserving identification for monitoring images
Chapter 11: Analysis phases in multimedia data forensics for source identification, deleted data reconstruction, and perpetrator identification
Chapter 12: Violence detection in videos: a review on hand-crafted and deep-learning techniques
Chapter 13: Enhancing medical image security: a look into crypto-watermarking method via LabVIEW
Chapter 14: Conclusion
