This document discusses a proposed decentralized access control system for securely storing data in clouds that supports anonymous authentication. The system allows clouds to verify the authenticity of users without knowing their identities, and only allows valid users to decrypt stored data. It prevents replay attacks and supports data creation, modification, and reading while addressing user revocation. The proposed approach is decentralized and robust unlike prior centralized access control systems for clouds.

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6. Decentralized Access Control with Anonymous
Authentication of Data Stored in Clouds - Parallel
Distributed Systems
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7. Abstract
We propose a new decentralized access control scheme for secure data
storage in clouds that supports anonymous authentication. In the proposed
scheme, the cloud verifies the authenticity of the series without knowing
the user's identity before storing data. Our scheme also has the added
feature of access control in which only valid users are able to decrypt the
stored information. The scheme prevents replay attacks and supports
creation, modification, and reading data stored in the cloud. We also
address user revocation. Moreover, our authentication and access control
scheme is decentralized and robust, unlike other access control schemes
designed for clouds which are centralized. The communication,
computation, and storage overheads are comparable to centralized
approaches.

8. Introduction
The user should authenticate itself before initiating any transaction, and on the other
hand, it must be ensured that the cloud does not tamper with the data that is
outsourced. User privacy is also required so that the cloud or other users do not know
the identity of the user. The cloud can hold the user accountable for the data it
outsources, and likewise, the cloud is itself accountable for the services it provides.
The validity of the user who stores the data is also verified. Apart from the technical
solutions to ensure security and privacy, there is also a need for law enforcement.

9. EXISTING SYSTEM
On access control in cloud are centralized in nature. Except and all other
schemes use attribute based encryption. The scheme in uses a symmetric
key approach and does not support authentication. The schemes do not
support authentication as well. Earlier work by Zhao. How ever, the authors
take a centralized approach where a single key distribution center
distributes secret keys and attributes to all users. Unfortunately, a single
KDC is not only a single point of failure but difficult to maintain because of
large number of users that are supported in cloud environment. We
emphasize that clouds should take a decentralized approach while
distributing secret keys and attributes to users.

10. Disadvantages
• Did not provide user authentication.
• User can create and store a file and other users can only read the file.
Write access was not permitted to users other than the creator.

11. PROPOSED SYSTEM
The protocol that we propose here computes a parameterized family of
functions, which we call threshold functions, in which the two extreme cases
correspond to the problems of computing the union and intersection of private
subsets.
Those are in fact general-purpose protocols that can be used in other contexts
as well. Another problem of secure multiparty computation that we solve here
as part of our discussion is the set inclusion problem; namely, the problem
where Alice holds a private subset of some round set, and Bob holds an
element in the ground set, and they wish to determine whether Bob’s element
is within Alice’s subset, without revealing to either of them information about
the other party’s input beyond the above described inclusion.

12. Advantages
• Decentralized access control technique with anonymous.
• authentication which provides user revocation and
prevents replay attack.
• The cloud does not know the identity of the user who
stores information, but only verifies the user’s credentials.
Key distribution is done in a decentralized way. One
limitation is that the cloud knows the access policy for each
record stored in the cloud

13. Reference
S. Ruj, M. Stojmenovic and A. Nayak, “Privacy Preserving
Access Control with Authentication for Securing Data in
Clouds”, IEEE/ACM International Symposium on Cluster, Cloud
and Grid Computing, pp. 556–563, 2012.

14. Hardware Specification
Processor : Any Processor above 500 MHz.
Ram : 128Mb.
Hard Disk : 10 Gb.
Compact Disk : 650 Mb.
Input device : Standard Keyboard and Mouse.
Output device : VGA and High Resolution Monitor.

15. Software Specification
Operating System : Windows Family.
Programming Language : ASP.NET, C#.Net.
Database : SQL Server 2005

16. Decentralized Access Control with Anonymous
Authentication of Data Stored in Clouds - Parallel
Distributed Systems
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