Confidential Computing : Hardware Based Memory Protection / edited by Vicente Garcia Diaz, Gloria Jeanette Rincón Aponte.

Format:

Book

Contributor:

Garcia Diaz, Vicente., Editor.

Rincón Aponte, Gloria Jeanette., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Advanced technologies and societal change 2191-6861

Advanced Technologies and Societal Change, 2191-6861

Language:

English

Subjects (All):

Computational intelligence.

Cloud computing.

Quantum computers.

Sustainability.

Data protection.

Computational Intelligence.

Cloud Computing.

Quantum Computing.

Data and Information Security.

Local Subjects:

Computational Intelligence.

Cloud Computing.

Quantum Computing.

Sustainability.

Data and Information Security.

Physical Description:

1 online resource (IX, 215 pages) : 159 illustrations, 119 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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.

Contents:

1. Design And Implementation Of Mobile Jammer For High Security System

2. Dual Security Based Attendence System By Using Face Recognition And Rfid With Gsm

3. Disasteranalysison Government Data

4. Edf: An Enhancement Of Droid Fusion Framework For Mitigation Of Multi Class Malware

5. Early Prediction Of Chronic Kidney Disease Using Predictive Analytics

6. Monitoring Suspicious Discussion On Online Forum

7. Ergonomicallydesignedsystem Forlicenseplate Recognition Usingimage Processingtechnique

8. Blockchain Based Privacy Securing G-Cloud Framework For E-Healthcare Service

9. Development Of Raspberry Pibot Surveillance Security System

10. Image Security Based On Rotational Visual Cryptography

11. Development Of Safety Monitoring For An Iot-Enabled Smart Environment

12. Deep Transfer Learning For Detecting Cyber Attacks

13. Data Security In Cloud With Hybrid Homomorphic Encryption Technique Using Gm Rsa Algorithm

14. Pragmatic Reform To Ameliorate Insider Data Theft Detection

15. Automatic Vehicle Alert And Accident Detection System Based On Cloud Using Iot

16. A Novel Architecture For Detecting And Preventing Network Intrusions

17. Cyber Hacking Breaches For Demonstrating And Forecasting

18. Enhancedsecurity With Crystographyusing Aes And Lsb

19. A Smart Security Systems Using National Instruments Myrio

20. Severity And Risk Predictions Of Diabetes On Covid-19 Using Machine Learning Techniques

21. Detection Of Cyber Threats In application platforms.

Other Format:

Printed edition:

ISBN:

978-981-19-3045-4

9789811930454

Access Restriction:

Restricted for use by site license.