Intelligent Data-Driven Techniques for Security of Digital Assets

The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality.

This book:

• Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources.

• Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy.

• Explains the role of emerging technology such as blockchain technology for transforming conventional business models.

• Highlights the importance of machine learning techniques in maintaining the privacy and security of data.

• Covers encryption and decryption techniques, their advantages and role in improving the privacy of data.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.