Multimedia Security Using Chaos Theory and Secret Sharing Schemes
Description
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.
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Mohit Dua: He received Ph.D. in the area of Automatic Speech Recognition from National Institute of Technology, Kurukshetra, India in 2018. He is presently working as Assistant Professor in Department of Computer Engineering at NIT Kurukshetra, India. He has more than 20 years of Teaching and Research experience. He is a member of Institute of Electrical and Electronics Engineers (IEEE), and life member of Computer Society of India (CSI) and Indian Society for Technical Education (ISTE). His research interests include Speech processing, Chaos based Cryptography, Information Security, Theory of Formal languages, Statistical modelling and Natural Language Processing. He has published approximately 150+ research papers including abroad paper presentations including USA, Canada, Australia, Singapore, Mauritius and Dubai.
Krishan Berwal: He is Associate Professor at Military College of Telecommunication Engineering, Ministry of Defence, GoI where he serves as Associate Dean (Synergy & Outreach), spearheading strategic collaborations with national agencies including MeitY, C-DAC, SAMEER, IITs, IIITs, NITs and NIELIT. Prior to this assignment, he served for over a decade in National Institutes of Technology under Ministry of Education, holding key leadership roles such as Head of Department, Placement Coordinator and Chairman of the Institute Perception Committee, among other academic and administrative responsibilities. He is a member of the National Cyber Security Division Working Group and Program Review & Steering Group (PRSG) for multiple R&D initiatives under MeitY, contributing to national research strategy in cybersecurity, AI and secure communications. Dr. Berwal has led and executed several high-value defence and government-funded projects, including an iDEX-supported ¿13 Crore innovation program for the Indian Army and has submitted multidisciplinary proposals exceeding ¿100 Crore in collaboration with premier institutions. With over 130 research publications, 2,500+ citations and recognition among the world's Top 2% Scientists by Stanford University, he combines academic excellence with translational defence research, making significant contributions to secure systems, cyber forensics, video processing, multimedia security and intelligent technologies.
Ankit Kumar Jain: He is working as an Assistant Professor at the National Institute of Technology Kurukshetra India, where he has been serving since 2013. Dr. Jain earned his Ph.D. from the National Institute of Technology, Kurukshetra, with a specialization in Information and Cyber Security. He has published more than 100 research papers in reputed international journals and conferences, including those published by Elsevier, Springer, Taylor & Francis, Inderscience, and IEEE. His research interests include Information and Cyber Security, Phishing Website Detection, Web Security, Mobile Security, IoT Security, Online Social Networks, and Machine Learning. His research work has received over 5,000 citations, with an h-index of 32 and an i10-index of 48. Currently, he is serving as the Coordinator of the M.Tech. programme in Cyber Security at NIT Kurukshetra.
Shelza Dua: She received Ph.D. in the area of Image Encryption from Banasthali Vidyapith, Banasthali Rajasthan, India in 2019. She is presently working as Research Associate in Department of Electrical Engineering at NIT Kurukshetra, India. She has more than 20+ years of Teaching and Research experience. She is a life member of IETE Her research interests include Chaos based Cryptography and Image Encryption. She has published approximately 30+ research papers in various reputed journals and international conferences.
Deepti Dhingra: She received Ph.D. in the area of Multimedia Encryption from National Institute of Technology Kurukshetra, India, in 2025. She is presently working as Assistant Professor in Computer Science and Engineering, Panipat Institute of Engineering and Technology, Samalkha, Haryana. She has more than 12+ years of Teaching and Research experience. Her research interests include Chaos based Cryptography and Image Encryption. She has published approximately 20+ research papers in various reputed journals and international conferences.
Content
Chapter 1: Introduction. 1.1 Background. 1.2 Definition. 1.3 History. 1.4 Classification. 1.5 Book Organization. Chapter 2: Chaos Theory. 2.1 Overview of Chaos Theory. 2.2 Properties and Applications of Chaos. 2.3 Chaos & Cryptography. 2.4 Application of Chaos Theory in Cryptography. 2.5 Chaos Map & Types. 2.6 Chaos System Analysis. 2.7 Conclusion. Chapter 3: Secret Sharing Schemes. 3.1 Introduction to Secret Sharing Scheme. 3.2 Challenges of Secret Sharing Scheme. 3.3 Mathematics background of Secret Schemes. 3.4 Types of Secret Scheme. 3.5 Characteristics of Secret Sharing Schemes. Chapter 4: Text Encryption. 4.1 Introduction to Text Encryption. 4.2 Traditional Cryptographic based Text Encryption Methods. 4.3 Secret Sharing Scheme based Text Encryption Algorithms. 4.4 Chaotic maps-based Text Encryption Algorithms. Chapter 5: Image Encryption. 5.1 Introduction. 5.2 Need of Image encryption. 5.3 Image Encryption using Chaos Theory. 5.4 Secret Sharing Schemes based Encryption of an Image. 5.5 Performance analysis. Chapter 6: Audio Encryption Strategy. 6.1 Introduction to the Audio and its encryption. 6.2 Need for Audio Encryption. 6.3 Role of Audio encryption in digital era. 6.4 Audio encryption using Chaos Theory. 6.5 Audio Encryption Performance Metrics. 6.6 Audio Decryption Performance Metrics. 6.7 Applications of Audio Encryption. Chapter 7: Video Encryption Strategy. 7.1 Introduction to Video and Video Summarization. 7.2 Video Encryption using Chaos Theory. 7.3 Use secret sharing schemes to protect video. 7.4 Evaluation of the video encryption methods' performance. 7.5 Applications of Video summarization and Security. Chapter 8: Recent Trends, Challenges and Open Issues. 8.1 Recent Trends in audio, Video, and Image Security. 8.2 Open Issues and Challenges. Chapter 9: Implementation and adoptability of the multimedia Encryption Strategies using python. 9.1 Platforms Supporting Implementation. 9.2 Python Libraries for Chaotic Map-Based Encryption. 9.3 Installation of Libraries. 9.4 Python Implementation code.