MSIGT: Most Significant Index Generation Technique for cloud environment

Raghavendra, Srinivas; Geeta, C M; Buyya, Rajkumar; Venugopal, K. R.; Iyengar, S. Sitharama; Patnaik, L. M.

doi:10.1109/indicon.2015.7443531

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…An analytical system is enhanced for encoding the mentioned keywords for obtaining secured token generation. As a result the information owner is offered with the advantage of reduced cost [15]. Jesudoss et al proposes a security mechanism for securing the application over the web [16].…”

Section: Related Workmentioning

confidence: 99%

Public Auditing In Cloud Environment For Secure Data Sharing

Jesudoss¹,

Lakshmanan²,

Christy³

et al. 2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

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The Cloud storage resembles a service offered by the cloud computing which involves maintaining, managing and backing up data remotely and there by making it accessible for multiple users across the network. Since the user's data can be altered by external users, storing data with in the cloud tends to be a serious thought for the users. To resolve the above issue an approach of data auditing is presented that performs data integrity using the CA (Cloud Auditor) component. The research aims to build an auditing scheme that being effective, secure and capable of public auditing and maintaining integrity and confidentiality of data. A novel successive single cloud data auditing has been proposed where in user provides uninterrupted declarations to the user and evaluates the information which is being strongly founded by adopting the new data audit validating protocol.

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Section: Related Workmentioning

confidence: 99%

Public Auditing In Cloud Environment For Secure Data Sharing

Jesudoss¹,

Lakshmanan²,

Christy³

et al. 2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

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“…Raghavendra et al [24] have proposed an effective token creation method, that enhances immune and productive label construction phase. A systematic composition is refined to encode the ordered keywords for secure label construction.…”

Section: Related Workmentioning

confidence: 99%

CRUPA: collusion resistant user revocable public auditing of shared data in cloud

et al. 2020

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Cloud repository is one of the most important services afforded by Cloud Computing where information is preserved, maintained, archived in distant servers and made available to the users over the Internet. Provided with the cloud repository facilities, customers can organize themselves as a cluster and distribute information with one another. In order to allow public integrity auditing on the information stored in semi-trusted cloud server, customers compute the signatures for every chunk of the shared information. When a malicious client is repudiated from the group, the chunks that were outsourced to the cloud server by this renounced customer need to be verified and resigned by the customer present in the cluster (i.e., the straightforward approach) which results in huge transmission and reckoning cost for the customer. In order to minimize the burden of customers present in the cluster, in the existing scheme Panda, the semi-trusted Cloud Service Provider (CSP) is allowed to compute the Re − sign key. Further, the CSP audits and resigns the revoked customer chunks by utilizing the Re − sign key. So, it is easy for the CSP by colluding with the revoked customer to find the secret keys of the existing customer. We introduce a novel Collusion Resistant User Revocable Public Auditing of Shared Data in Cloud (CRUPA) by making use of the concept of regression technique. In order to secure the secret keys of the existing customers from the CSP, we have allowed the information proprietor to compute the Re − sign key using the regression technique. Whenever the information proprietor revokes the customer from the cluster, the information proprietor computes the Re − sign key using the regression technique and sends to the CSP. Further, the CSP audits and resigns the revoked customer chunks using the Re − sign key. The Re − sign key computed by the information proprietor using regression method is highly secure and the malicious CSP cannot find the private information of the customers in the cluster. Besides, our mechanism achieves significant improvement in the computation cost of the Re − sign key by information proprietor. Further, the proposed scheme is collusion resistant, supports effective and secure customer repudiation, multi-information proprietor batch auditing and is scalable.

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“…Since frequent updates may be there which requires updating the searchable index since TRSE scheme relies on tf-idf values and idf depends on number of documents that contain the keyword and tf depends on number of times a term occurs in a document which also needs to be updated with every modification in a file cost of calculating tf-idf weights to get the relevance scores during each search request is too expensive. Raghavendra et al in [11] proposed a most significant index generation scheme which reduces the index generation time to the order of O(N*3). Authors proposed MSIGT scheme for secure and efficient single-keyword search over encrypted cloud data.…”

Section: Symmetric Searchable Encryption Schemesmentioning

confidence: 99%

An Efficient Multi-keyword Symmetric Searchable Encryption Scheme for Secure Data Outsourcing

Arora¹,

Tyagi²

2016

IJCNIS

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Abstract-Symmetric searchable encryption (SSE) schemes allow a data owner to encrypt its data in such a way that it could be searched in encrypted form. When searching over encrypted data the retrieved data, search query, and search query outcome everything must be protected. A series of SSE schemes have been proposed in the past decade. In this paper, we are going to propose our an efficient multi-keyword symmetric searchable encryption scheme for secure data outsourcing and evaluate the performance of our proposed scheme on a real data set.

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MSIGT: Most Significant Index Generation Technique for cloud environment

Cited by 13 publications

References 19 publications

Public Auditing In Cloud Environment For Secure Data Sharing

Public Auditing In Cloud Environment For Secure Data Sharing

CRUPA: collusion resistant user revocable public auditing of shared data in cloud

An Efficient Multi-keyword Symmetric Searchable Encryption Scheme for Secure Data Outsourcing

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