Attribute Based Proxy Re-encryption for Data Confidentiality in Cloud Computing Environments

Do, Jeong-Min; Song, You-Jin; Park, Namje

doi:10.1109/cnsi.2011.34

Cited by 48 publications

(26 citation statements)

References 6 publications

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“…Increasing the number of stored chunks, rapidly lowers the probability of a successful selection in the reverse engineering process due to uniform selection of virtual volumes. The V. RELATED WORK Literature identifies several approaches to tackle the problem of confidentiality in cloud: vulnerabilities identification and attack prevention [9], encryption mechanisms [10], [11], data segregation [12],or engineering cloud systems with special security features [13], [14]. These systems are constructed based on already known security concepts like PKI, encrypted communication protocols or security barriers protecting computing infrastructures.…”

Section: Resultsmentioning

confidence: 99%

Secret Sharing Scheme for Data Confidentiality Preserving in a Public-Private Hybrid Cloud Storage Approach

Butoi

Tomai

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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Adopting public cloud services implies a loose of control in the management process of the outsourced infrastructure. This raises legal and trust concerns among executives and decision factors regarding confidentiality of data being moved in cloud. We propose a protocol based on a secret sharing scheme in which data is split in optimal chunks, each chunk carrying a minimum informational content relative to the entire informational content of the data set. The file chunks are stored in multiple cloud storage volumes in a way that minimizes the probability for an insider or an attacker to reconstruct the original data set. The splitting heuristic is based on Kullback-Leibler as a metric of chunk optimality while the chunk distribution strategy uses a probabilistic model.

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Section: Resultsmentioning

confidence: 99%

Secret Sharing Scheme for Data Confidentiality Preserving in a Public-Private Hybrid Cloud Storage Approach

Butoi

Tomai

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

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“…Also, to prevent the trouble of key distribution and management, it proposes a modified Diffie-Hellman key interchange protocol between cloud service providers and the user for secretly sharing a symmetric key for secure data access. An additional paper [13] in cloud computing environments shows how to protect and ensure data confidentiality and fine-grained access control. The paper guaranteed data confidentiality by dividing and storing a data file into header and body.…”

Section: Related Workmentioning

confidence: 99%

A new technique to partition and manage data security in cloud databases

Omran

Panda

2014

The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014)

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Cloud computing has brought many advantages to companies and computer users. It allows different service providers to distribute many applications as services in an economical way. Therefore, many users and companies have begun using cloud computing. However, they are concerned about their data when they store it on a third party, the cloud. Fears of leakage of sensitive data or loss of privacy make the adoption of cloud services less attractive for organizations. In this paper an algorithm is presented to protect a table in a database from any leakage. We have developed a model with a view to offer secure data management capability in cloud databases. The model distributes and scatters the data over the cloud or data center in order to protect it from any leakage. Also, it explains the idea of sending the entire domain of the sensitive table into the cloud. In addition, to increase security, the algorithm is designed to store each sensitive data in a different table with a different code and store this code at the client site. Furthermore, a new technique has been designed to collect the data from the cloud by using the bipartite matching algorithm to minimize load costs.

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“…In [5] the data is stored in the cloud using attribute-based encryption. The above scheme divides and store data file into header and body.…”

Section: Related Workmentioning

confidence: 99%

Verifiable El-gamal re-encryption with authenticity in cloud

Renjith¹,

Sabitha²

2013

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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Now a days data centers are migrating to the cloud. Security concerns become relevant as we outsource the storage of possibly sensitive data to third party cloud. Data stored in cloud need to be secured so that any malicious attacker colluding with any of the cloud servers does not gain any access to the secure information. Data need to be secured not only in the storage but also in the transit among authorized users. For secure data storage, encryption of the data is done using a powerful encryption mechanism. Encrypted data need to be shared among authorized clients. This is made possible through re-encryption. The re-encryption process converts the cipher text encrypted under the public key of owner of the data to a different cipher text encrypted under the intended receiver's public key. Automatic reencryption done too frequently will lead to wastage of resources. Existing Re-encryption algorithms shares their secret keys as shares in key servers. The re-encrypting authority should never get any information about the secret keys or the plain text during the process. The re-encryption is secure only if it does not reveal plain text in any of its intermediate stages. In the proposed method a novel re-encryption scheme is introduced that is secure against the collusion attacks and the re-encryption process does not reveal the plain text and secret keys anywhere in the middle of the process. The proposed method re-encrypts data only on demand thereby ensuring efficient resource utilization.

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Attribute Based Proxy Re-encryption for Data Confidentiality in Cloud Computing Environments

Cited by 48 publications

References 6 publications

Secret Sharing Scheme for Data Confidentiality Preserving in a Public-Private Hybrid Cloud Storage Approach

Secret Sharing Scheme for Data Confidentiality Preserving in a Public-Private Hybrid Cloud Storage Approach

A new technique to partition and manage data security in cloud databases

Verifiable El-gamal re-encryption with authenticity in cloud

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