Items related to Analysis of Secure Privacy Data Sharing in Cloud Computing
Synopsis
Cloud computing is an emerging technology, which relies on sharing of computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers are Data security, Resource scheduling and Energy consumption. Key aggregate cryptosystem is used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. One time password approach (OTP) is secrete and secure password which is valid for one time sign-in. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to efficiently use their accessible resources and get higher benefits. To share data resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recover using regenerative coding. Security is provided too many techniques like Forwarding security, backward security, Key-Aggregate cryptosystem, Encryption, and Re-encryption etc. The energy is reduced using Energy-Efficient VM’s Scheduling in Multi-Tenant Data Centers.
"synopsis" may belong to another edition of this title.
Buy New
View this item
£ 35.88
£ 9.60 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Analysis of Secure Privacy Data Sharing in Cloud Computing
Seller Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing is an emerging technology, which relies on sharing of computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers are Data security, Resource scheduling and Energy consumption. Key aggregate cryptosystem is used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. One time password approach (OTP) is secrete and secure password which is valid for one time sign-in. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to efficiently use their accessible resources and get higher benefits. To share data resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recover using regenerative coding. Security is provided too many techniques like Forwarding security, backward security, Key-Aggregate cryptosystem, Encryption, and Re-encryption etc. The energy is reduced using Energy-Efficient VM's Scheduling in Multi-Tenant Data Centers. 68 pp. Englisch. Seller Inventory # 9783659550300
Quantity: 2 available
Seller Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing is an emerging technology, which relies on sharing of computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers are Data security, Resource scheduling and Energy consumption. Key aggregate cryptosystem is used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. One time password approach (OTP) is secrete and secure password which is valid for one time sign-in. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to efficiently use their accessible resources and get higher benefits. To share data resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recover using regenerative coding. Security is provided too many techniques like Forwarding security, backward security, Key-Aggregate cryptosystem, Encryption, and Re-encryption etc. The energy is reduced using Energy-Efficient VM's Scheduling in Multi-Tenant Data Centers. Seller Inventory # 9783659550300
Quantity: 1 available
Stock Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 409633580
Quantity: 4 available
Seller Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pullaganti Muthi ReddyMuthireddy P was studied Ph.D. in Computer Science and Engineering from U.V.C.E, Bangalore University, Bengaluru, Karnataka, India. He was awarded M.Tech. degree in CSE from Davangere University. He obtained his. Seller Inventory # 385767586
Quantity: Over 20 available
Stock Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26404569331
Quantity: 4 available
Stock Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404569337
Quantity: 4 available
Stock Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Seller Inventory # 3659550302
Quantity: 1 available
Seller Image
Analysis of Secure Privacy Data Sharing in Cloud Computing
Published by
LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 3659550302
ISBN 13: 9783659550300
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Cloud computing is an emerging technology, which relies on sharing of computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers are Data security, Resource scheduling and Energy consumption. Key aggregate cryptosystem is used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. One time password approach (OTP) is secrete and secure password which is valid for one time sign-in. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to efficiently use their accessible resources and get higher benefits. To share data resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recover using regenerative coding. Security is provided too many techniques like Forwarding security, backward security, Key-Aggregate cryptosystem, Encryption, and Re-encryption etc. The energy is reduced using Energy-Efficient VM¿s Scheduling in Multi-Tenant Data Centers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Seller Inventory # 9783659550300
Quantity: 2 available