"Artificial Intelligence, machine learning and advanced electronic circuits are learning from every data input and using those inputs to generate new rules for future business analytics. Artificial Intelligence and Machine Learning are now giving us new opportunities to use the big data that we already had, as well as unleash a whole lot of new use cases with new data types. With the increasing use of Artificial Intelligence dealing with highly sensitive information such as health care, adequate security measures are required to be taken for the secure storage and transmission. AI for Big data based Engineering applications from security perspectives provide broader coverage of the basic aspects of advanced circuits design and applications. The book AI for Big data based Engineering applications from security perspectives is an integrated source which aims at understanding the basic concepts associated with the security of the advanced circuits. The content includes theoretical frameworks and recent empirical findings in the field to understand the associated principles, key challenges and recent real-time applications of the advanced circuits, AI and Big data security. It illustrates the notions, models and terminologies that are widely used in the area of VLSI circuits, security, identifies the existing security issues in the field, and evaluates the underlying factors that influence the security of the systems. It emphasizes the idea of understanding the motivation of the advanced circuits' design to establish the AI interface and to mitigate the security attacks in a better way for big data. This book also outlines the exciting areas of future research where the already existing methodologies can be implemented. Moreover, this book is suitable for students, researchers, and professionals who are looking forward to carry out research in the field of AI for Big data based Engineering applications from security perspectives, faculty members across the universities and software developers"--