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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Privacy Preserving Delegated Access Control in Public 
Clouds 
Abstract: 
Current approaches to enforce fine-grained access control on confidential data hosted in 
the cloud are based on fine-grained encryption of the data. Under such approaches, data owners 
are in charge of encrypting the data before uploading them on the cloud and re-encrypting the 
data whenever user credentials or authorization policies change. Data owners thus incur high 
communication and computation costs. A better approach should delegate the enforcement of 
fine-grained access control to the cloud, so to minimize the overhead at the data owners, while 
assuring data confidentiality from the cloud. We propose an approach, based on two layers of 
encryption, that addresses such requirement. Under our approach, the data owner performs a 
coarse-grained encryption, whereas the cloud performs a fine-grained encryption on top of the 
owner encrypted data. A challenging issue is how to decompose access control policies (ACPs) 
such that the two layer encryption can be performed. We show that this problem is NP-complete 
and propose novel optimization algorithms. We utilize an efficient group key management 
scheme that supports expressive ACPs. Our system assures the confidentiality of the data and 
preserves the privacy of users from the cloud while delegating most of the access control 
enforcement to the cloud. 
Algorithm: 
AB-GKM::KeyGen Algorithm:
To generate key for these models, we propose an efficient algorithm called AB-GKM:: 
KeyGen algorithm. 
Existing System: 
Approaches based on encryption have been proposed for fine-grained access control over 
encrypted group with a different symmetric key. Users then are given only the keys for the data 
items they are allowed to access. Extensions to reduce the number of keys that need to be 
distributed to the users have been proposed exploiting hierarchical and other relationships among 
data items. Such approaches however have several limitations: 
ยท As the data owner does not keep a copy of the data, whenever the user dynamics or ACPs 
change, the data owner needs to download and decrypt the data, re-encrypt it with the 
new keys, and upload the encrypted data. Notice also that this process must be applied to 
all the data items encrypted with the same key. This is inefficient when the data set to be 
re-encrypted is large. 
ยท In order to issue the new keys to the users, the data owner needs to establish private 
communication channels with the users. 
ยท The privacy of the identity attributes of the users is not taken into account. Therefore the 
cloud can learn sensitive information about the users and their organization. 
ยท They are either unable or inefficient in supporting fine-grained ABAC policies. 
it requires the data owner to enforce all the ACPs by fine-grained encryption, both 
initially and subsequently after users are added/revoked or the ACPs change. All these 
encryption activities have to be performed at the owner that thus incurs high communication and 
computation cost. 
Existing System architecture
Proposed System: 
A challenging issue in the TLE approach is how to decompose the ACPs so that fine-grained 
ABAC enforcement can be delegated to the cloud while at the same time the privacy of 
the identity attributes of the users and confidentiality of the data are assured. 
The TLE approach has many advantages. When the policy or user dynamics changes, 
only the outer layer of the encryption needs to be updated. Since the outer layer encryption is 
performed at the cloud, no data transmission is required between the data owner and the cloud. 
Further, both the data owner and the cloud service utilize a broadcast key management scheme 
whereby the actual keys do not need to be distributed to the users. Instead, users are given one or 
more secrets which allow them to derive the actual symmetric keys for decrypting the data. 
This twolayer enforcement allows one to reduce the load on the Owner and delegates as 
much access control enforcement duties as possible to the Cloud. Specifically, it provides a 
better way to handle data updates, user dynamics, and policy changes. The system goes through 
one additional phase compared to existing approach. 
Proposed System architecture
Modules: 
The system is proposed to have the following modules along with functional 
requirements. 
1. Identity token issuance 
2. Identity token registration 
3. Data encryption and uploading 
4. Data downloading and decryption 
5. Encryption evolution management 
Identity token issuance 
IdPs are trusted third parties that issue identity tokens to Users based on their identity 
attributes. It should be noted that IdPs need not be online after they issue identity tokens. 
Identity token registration 
Users register their token to obtain secrets in order to later decrypt the data they are 
allowed to access. Users register their tokens related to the attribute conditions in ACC with the 
Owner, and the rest of the identity tokens related to the attribute conditions in ACB/ACC with 
the Cloud. When Users register with the Owner, the Owner issues them two sets of secrets for
the attribute conditions in ACC that are also present in the sub ACPs in ACPB Cloud. The 
Owner keeps one set and gives the other set to the Cloud. Two different sets are used in order to 
prevent the Cloud from decrypting the Owner encrypted data. 
Data encryption and uploading 
The Owner first encrypts the data based on the Ownerโ€™s sub ACPs in order to hide the 
content from the Cloud and then uploads them along with the public information generated by 
the AB-GKM::KeyGen algorithm and the remaining sub ACPs to the Cloud. The Cloud in turn 
encrypts the data based on the keys generated using its own AB-GKM::KeyGen algorithm. Note 
that the AB-GKM::KeyGen at the Cloud takes the secrets issued to Users and the sub ACPs 
given by the Owner into consideration to generate keys. 
Data downloading and Decryption 
Users download encrypted data from the Cloud and decrypt twice to access the data. 
First, the Cloud generated public information tuple is used to derive the OLE key and then the 
Owner generated public information tuple is used to derive the ILE key using the AB-GKM:: 
KeyDer algorithm. These two keys allow a User to decrypt a data item only if the User 
satisfies the original ACP applied to the data item. 
Encryption Evolution Management 
Over time, either ACPs or user credentials may change. Further, already encrypted data 
may go through frequent updates. In such situations, data already encrypted must be re-encrypted 
with a new key. As the Cloud performs the access control enforcing encryption, it simply re-encrypts 
the affected data without the intervention of the Owner. 
Software Requirements:
Technologies : Asp .Net and C#.Net 
Database : MS-SQL Server 2005/2008 
IDE : Visual Studio 2008 
Hardware Requirements: 
Processor : Pentium IV 
RAM : 1GB
Technologies : Asp .Net and C#.Net 
Database : MS-SQL Server 2005/2008 
IDE : Visual Studio 2008 
Hardware Requirements: 
Processor : Pentium IV 
RAM : 1GB

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IEEE 2014 JAVA DATA MINING PROJECTS Privacy preserving delegated access control in public clouds

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Privacy Preserving Delegated Access Control in Public Clouds Abstract: Current approaches to enforce fine-grained access control on confidential data hosted in the cloud are based on fine-grained encryption of the data. Under such approaches, data owners are in charge of encrypting the data before uploading them on the cloud and re-encrypting the data whenever user credentials or authorization policies change. Data owners thus incur high communication and computation costs. A better approach should delegate the enforcement of fine-grained access control to the cloud, so to minimize the overhead at the data owners, while assuring data confidentiality from the cloud. We propose an approach, based on two layers of encryption, that addresses such requirement. Under our approach, the data owner performs a coarse-grained encryption, whereas the cloud performs a fine-grained encryption on top of the owner encrypted data. A challenging issue is how to decompose access control policies (ACPs) such that the two layer encryption can be performed. We show that this problem is NP-complete and propose novel optimization algorithms. We utilize an efficient group key management scheme that supports expressive ACPs. Our system assures the confidentiality of the data and preserves the privacy of users from the cloud while delegating most of the access control enforcement to the cloud. Algorithm: AB-GKM::KeyGen Algorithm:
  • 2. To generate key for these models, we propose an efficient algorithm called AB-GKM:: KeyGen algorithm. Existing System: Approaches based on encryption have been proposed for fine-grained access control over encrypted group with a different symmetric key. Users then are given only the keys for the data items they are allowed to access. Extensions to reduce the number of keys that need to be distributed to the users have been proposed exploiting hierarchical and other relationships among data items. Such approaches however have several limitations: ยท As the data owner does not keep a copy of the data, whenever the user dynamics or ACPs change, the data owner needs to download and decrypt the data, re-encrypt it with the new keys, and upload the encrypted data. Notice also that this process must be applied to all the data items encrypted with the same key. This is inefficient when the data set to be re-encrypted is large. ยท In order to issue the new keys to the users, the data owner needs to establish private communication channels with the users. ยท The privacy of the identity attributes of the users is not taken into account. Therefore the cloud can learn sensitive information about the users and their organization. ยท They are either unable or inefficient in supporting fine-grained ABAC policies. it requires the data owner to enforce all the ACPs by fine-grained encryption, both initially and subsequently after users are added/revoked or the ACPs change. All these encryption activities have to be performed at the owner that thus incurs high communication and computation cost. Existing System architecture
  • 3. Proposed System: A challenging issue in the TLE approach is how to decompose the ACPs so that fine-grained ABAC enforcement can be delegated to the cloud while at the same time the privacy of the identity attributes of the users and confidentiality of the data are assured. The TLE approach has many advantages. When the policy or user dynamics changes, only the outer layer of the encryption needs to be updated. Since the outer layer encryption is performed at the cloud, no data transmission is required between the data owner and the cloud. Further, both the data owner and the cloud service utilize a broadcast key management scheme whereby the actual keys do not need to be distributed to the users. Instead, users are given one or more secrets which allow them to derive the actual symmetric keys for decrypting the data. This twolayer enforcement allows one to reduce the load on the Owner and delegates as much access control enforcement duties as possible to the Cloud. Specifically, it provides a better way to handle data updates, user dynamics, and policy changes. The system goes through one additional phase compared to existing approach. Proposed System architecture
  • 4. Modules: The system is proposed to have the following modules along with functional requirements. 1. Identity token issuance 2. Identity token registration 3. Data encryption and uploading 4. Data downloading and decryption 5. Encryption evolution management Identity token issuance IdPs are trusted third parties that issue identity tokens to Users based on their identity attributes. It should be noted that IdPs need not be online after they issue identity tokens. Identity token registration Users register their token to obtain secrets in order to later decrypt the data they are allowed to access. Users register their tokens related to the attribute conditions in ACC with the Owner, and the rest of the identity tokens related to the attribute conditions in ACB/ACC with the Cloud. When Users register with the Owner, the Owner issues them two sets of secrets for
  • 5. the attribute conditions in ACC that are also present in the sub ACPs in ACPB Cloud. The Owner keeps one set and gives the other set to the Cloud. Two different sets are used in order to prevent the Cloud from decrypting the Owner encrypted data. Data encryption and uploading The Owner first encrypts the data based on the Ownerโ€™s sub ACPs in order to hide the content from the Cloud and then uploads them along with the public information generated by the AB-GKM::KeyGen algorithm and the remaining sub ACPs to the Cloud. The Cloud in turn encrypts the data based on the keys generated using its own AB-GKM::KeyGen algorithm. Note that the AB-GKM::KeyGen at the Cloud takes the secrets issued to Users and the sub ACPs given by the Owner into consideration to generate keys. Data downloading and Decryption Users download encrypted data from the Cloud and decrypt twice to access the data. First, the Cloud generated public information tuple is used to derive the OLE key and then the Owner generated public information tuple is used to derive the ILE key using the AB-GKM:: KeyDer algorithm. These two keys allow a User to decrypt a data item only if the User satisfies the original ACP applied to the data item. Encryption Evolution Management Over time, either ACPs or user credentials may change. Further, already encrypted data may go through frequent updates. In such situations, data already encrypted must be re-encrypted with a new key. As the Cloud performs the access control enforcing encryption, it simply re-encrypts the affected data without the intervention of the Owner. Software Requirements:
  • 6. Technologies : Asp .Net and C#.Net Database : MS-SQL Server 2005/2008 IDE : Visual Studio 2008 Hardware Requirements: Processor : Pentium IV RAM : 1GB
  • 7. Technologies : Asp .Net and C#.Net Database : MS-SQL Server 2005/2008 IDE : Visual Studio 2008 Hardware Requirements: Processor : Pentium IV RAM : 1GB