Confidential Computing

Hardware Based Memory Protection
1. Auflage 2022
ISBN: 978-981-19-3044-7
Verlag: Springer

Buch, Englisch, 215 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 553 g

Reihe: Advanced Technologies and Societal Change

This book highlights the three pillars of data security, viz protecting data at rest, in transit, and in use. Protecting data at rest means using methods such as encryption or tokenization so that even if data is copied from a server or database, a thief cannot access the information. Protecting data in transit means making sure unauthorized parties cannot see information as it moves between servers and applications. There are well-established ways to provide both kinds of protection. Protecting data while in use, though, is especially tough because applications need to have data in the clear—not encrypted or otherwise protected—in order to compute. But that means malware can dump the contents of memory to steal information. It does not really matter if the data was encrypted on a server’s hard drive if it is stolen while exposed in memory. As computing moves to span multiple environments—from on-premise to public cloud to edge—organizations need protection controls that help safeguard sensitive IP and workload data wherever the data resides. Many organizations have declined to migrate some of their most sensitive applications to the cloud because of concerns about potential data exposure. Confidential computing makes it possible for different organizations to combine data sets for analysis without accessing each other’s data.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Garcia Diaz, Vicente

Rincón Aponte, Gloria Jeanette

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit

Inhaltsverzeichnis

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

Über Autor(innen)

Vicente García Díaz 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.