Confidential Computing: Hardware Based Memory Protection (Advanced Technologies and Societal Change)

Vicente Garca Daz is an associate professor at the Computer Science Department of the University of Oviedo. He has a Ph.D. in Computer Engineering from the University of Oviedo. His research interests include model-driven engineering, domain-specific languages, technology for learning and entertainment, project risk management, and software development processes and practices. He graduated in prevention of occupational risks and is a certified associate in project management through the Project Management Institute. Gloria Jeanette Rincon Aponte is from the Department of Computing, University Cooperativa de Colombia, Neiva, Colombia. She is on editorial board of several reputed journals and has been associated with a number of high-level conferences. Gloria has been associated with many interdisciplinary research projects. Part 1: ABCs of Confidential Computing: Secure enclave technologies Adopting cloud computing Rise of confidential computing Confidentiality of data Components of a confidential computing architecture. Confidential computing matters IBM Cloud Data Shield vs. Microsoft Azure Confidential Computing Intel’s SGX technology Part 2: How does Confidential Computing work? Isolating the software and data from the underlying infrastructure Hardware-level encryption Public Clouds Secure and private analytics Blockchain Part 3: Paradigm shift for data security in the cloud. Part 4: Benefits of Confidential Computing Confidential computing enabled end-to-end security encryption. Protecting data at processing time Increased transparency and building user trust. Ensuring protection against any unauthentic use by insiders Keeping network vulnerabilities in check