seminars ppts on secure dynamic auditing protocol for data storage in cloud computing

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Efficient and secure Dynamic Audit Protocol for data storage in the cloud


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Abstract

In cloud computing, data owners post your data on the cloud servers and users (consumers) can get access to the
from the cloud servers. Due to the outsourcing of data, however, this new paradigm of data hosting also introduces a new security
problem that requires an independent audit service to verify the integrity of data in the cloud. Some of the existing remote integrity
validation methods may only be used for static historical data and, therefore, cannot be applied to the audit because the data in the
Cloud can be dynamically updated. Thus, the efficacy and safety of dynamic audit Protocol it is advisable to convince owners of the data
that data is properly stored in the cloud. In this article we first develop audit framework for cloud storage systems
and to propose effective and privacy-preserving audit Protocol. Then, we are expanding our audit Protocol to support data
dynamic operations that are efficient and provably secure in the random Oracle model. We further expand our audit Protocol
to support batch audit for both multi-tenant and several clouds, without the use of any of the trusted analysis and organizer
Simulation results show that audit protocols offered are safe and effective, especially to reduce the overhead of the
Auditor.

INTRODUCTION

Cloud storage important service cloud computing
[1], which allows data owners (owners) to move the data from the
their local computing in the cloud. More and more
the owners are beginning to store data in the cloud [2]. However,
This new paradigm of data hosting also introduces
new security challenges [3]. Owners fear that
data may be lost in the cloud. This is because data loss
could not happen in any infrastructure, regardless of the high
The degree of reliable measures cloud providers would
take [4]-[8]. Sometimes cloud services providers can be
dishonest. They can discard data that has not been
access or rarely contacted, to save storage space and
claim that the data is still correctly stored in the cloud.
Thus, the owners need to be sure that the data
properly stored in the cloud.

Effective and privacy PRESERVATION
AUDIT PROTOCOL

In this section, we introduce some techniques that we have used
to develop our effective and privacy-preserving
Audit Protocol. Then, we will describe the algorithms and
The detailed construction of our audit Protocol for the cloud
data storage systems. proof of correctness will be shown in the
Background information.

Overview of our solution

The main challenge in designing the audit data storage
The Protocol the issue of confidentiality of data (i.e. Audit Protocol
You must protect the confidentiality of the data of the auditor.).
This is because: 1) For public data, the Auditor can obtain
Information data by restoring pieces of data from
Proof of the data. 2) For encrypted data, the Auditor can obtain
key content such as through any special channels and
may be able to decrypt the data. To resolve data privacy
Problem is, our method to create an encrypted evidence with
To print by using the property bilinejnosti
bilinear pairing, so that the auditor could not decipher it. but
The Auditor can verify the evidence without
decryption.

PARTY Audit MULTI-OWNER
AND MULTI-CLOUD

Audit data storage is an important service in the cloud
a computer that helps owners to verify the integrity of data
on the cloud servers. Due to the large amount of data
The owners, the Auditor can receive many requests audit
multiple data owners. In this situation, it would be greatly
improve system performance, if the auditor could
combine these queries audit together and only spend
party audits for multiple owners.
previous work [25], cannot support the batch audit for
several owners. This is because the parameters for generating the
data labels that each owner is different and, thus,
the auditor cannot merge tags data from multiple owners
conduct batch audit.
On the other hand, some of the data owners can store their data
on more than one cloud servers. To ensure the data owner
honesty in all clouds auditor send audit
problems of each cloud server in which the owner
check out all evidence and data from them.