Multimedia Security Using Chaos Theory and Secret Sharing Schemes

With the quick advancement of web technology and network applications, protecting digitized information from unwanted access and modification has become a critical problem in today’s digital world. The security issue in electronic media has presented a complex challenge, initiating the development of cryptographic algorithms incorporating Chaos theory and secret sharing schemes. Chaos theory and secret sharing have been used to develop various multimedia application encryption strategies. Encryption converts multimedia data, i.e., images, audio, and videos, into noise-like data. The chaotic map characteristics, such as nonlinearity and sensitivity to the initial conditions, make it suitable for use in cryptography. At the same time, secret schemes can protect essential information against loss, modification, or destruction. Numerous techniques based on Chaos theory and secret sharing have been created to overcome these issues. These security techniques have become very popular for developing image and video cryptosystems. Also, the authors have developed chaotic map-based cryptosystems for other forms of multimedia data and other research fields such as IoT, cloud computing, smart grid, etc. Moreover, the authors have proposed different secret-sharing schemes to recognize and secure multimedia data based on their characteristics. Furthermore, some books have been edited by the authors, concentrating only on different methodologies proposed by the researchers. However, no authored book that discusses this important research topic from the viewpoint of chaotic map-based multimedia encryption is available in the market. To this end, the book aims to review and highlight the challenges of intelligent multimedia security and present the recent developments to address those challenges.

• Publication date: 6 September 2026
• Page count: 194
• Dimensions: Height 234 mm; Width 156 mm
• Publisher: Taylor & Francis Ltd
• Format: Paperback
• ISBN-13: 9781032816722