000			04546nam a22003855i 4500
001			394021
003			ES-MaUEC
005			20230102123047.0
007			cr nn 008mamaa
008			220922s2022 si | s |||| 0|eng d
020			_a9789811930454
024	7		_a10.1007/978-981-19-3045-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aConfidential Computing _bHardware Based Memory Protection _cedited by Vicente Garcia Diaz, Gloria Jeanette Rincón Aponte
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 215 páginas) _b159 ilustraciones, 119 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAdvanced Technologies and Societal Change _x2191-6861
505	0		_a1. 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.
520			_aThis 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.
700	1		_aGarcia Diaz, Vicente _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRincón Aponte, Gloria Jeanette _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811930447
776	0	8	_iPrinted edition: _z9789811930461
776	0	8	_iPrinted edition: _z9789811930478
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-3045-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394021 _d394021