Data Integrity Proofs in Cloud Storage [Pruthviraj]

7/29/2019 Data Integrity Proofs in Cloud Storage [Pruthviraj]

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DATAINTEGRITYPROOFSINCLOUDSTORAGE


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CLOUDSTORAGE

Cloud storage is a service model in which data ismaintained, managed and backed up remotely and

made available to users over a network (typically

the Internet).

It allows users to upload files that could then be

accessed over the internet from a different

computer, tablet, smart phone or other networked

device, by the same user or possibly by other

users, after a password or other authentication isprovided.

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http://en.wikipedia.org/wiki/Tablet_computerhttp://en.wikipedia.org/wiki/Smart_phonehttp://en.wikipedia.org/wiki/Smart_phonehttp://en.wikipedia.org/wiki/Tablet_computer


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CLOUDSTORAGE

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CloudStorage

Provider

Client

Storage server

Web server

Pros:

Lower cost

Easier management

Enables sharing andaccess from anywhere

Cons:

Loss of control

No guarantees of data

availability Provider failures


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DATA INTEGRITY PROOFSIN CLOUD STORAGE

Cloud storage moves the users data to large data centers,

which are remotely located, on which user does not have any

control.

However, this unique feature of the cloud poses many new

security challenges which need to be clearly understood andresolved.

One of the important concerns that need to be addressed is to

assure the customer of the integrity i.e. correctness of his data

in the cloud.

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EXISTING SYSTEM:

The simplest Proof of retrivability (POR) scheme

can be made using a keyed hash function hk(F). In this scheme the verifier, before archiving the data

file F in the cloud storage, pre-computes the

cryptographic hash of F using hk(F) and stores this

hash as well as the secret key K.

To check if the integrity of the file F is lost the

verifier releases the secret key K to the cloud

archive and asks it to compute and return the value

of hk(F).

By storing multiple hash values for different keys

the verifier can check for the integrity of the file F

for multiple times, each one being an independent

proof. 5


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DISADVANTAGES:

Though this scheme is very simple and easily

implementable the main drawback of this scheme

are the high resource costs it requires for the

implementation.

At the verifier side this involves storing as many

keys as the number of checks it want to perform as

well as the hash value of the data file F with each

hash key.

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PROPOSED SYSTEM:

We present a scheme which does not involve the encryption

of the whole data.

We encrypt only few bits of data per data block thus reducing

the computational overhead on the clients.

The client storage overhead is also minimized as it does not

store any data with it. Hence our scheme suits well for thin clients.

In our data integrity protocol the verifier needs to store only a

single cryptographic key - irrespective of the size of the data

file F- and two functions which generate a random sequence.

The verifier does not store any data with it.

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Architecture:


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SPOT-CHECKING

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CloudStorage

Provider

Client

F B4 B7 T1 T2 T3B1 T1B1

Small corruptions

go undetected

k


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ERRORCORRECTINGCODE

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CloudStorage

Provider

Client

F

Parity blocks

Corrects

small

corruption

k


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ADVANTAGES:

it a reliable solution to the problem of avoiding local

storage of data

We encrypt only few bits of data per data block thus

reducing the computational overhead on the clients.

The client storage overhead is also minimized as it

does not store any data with it.

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PRUTHVI RAJ

Date post:	04-Apr-2018
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Data Integrity Proofs in Cloud Storage [Pruthviraj]

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