Index Generation and Secure Multi-user Access Control over an Encrypted Cloud Data

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

doi:10.1016/j.procs.2016.06.062

Cited by 16 publications

(3 citation statements)

References 8 publications

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“…This exploration technique ensures the information secrecy of cloud put away information. Raghavendra et al [37] presented the verified multi proprietor information sharing plan for the verified and security safeguarded information sharing result. This examination work ensures the verified information sharing result in the dynamic route by adjusting the RSA Chinese leftover portion hypothesis which guarantees the expanded security level.…”

Section: Discussion Of Different Dynamic Grouping Techniquesmentioning

confidence: 99%

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Reddy*,

Ravindranadh

2019

IJITEE

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Cloud service is the most popular environment utilized by millions of users for different kind of service utilization. Cloud services needs to be provided with the concern of satisfying user requirements to increase their popularity level. The main issues associated with cloud service handling are maintaining integrity of data, user management, secured data transmission and so on. These issues are addressed by various authors by introducing the different methodologies. In this analysis work, discussion about those research techniques has been given with the detailed explanation. This paper provides the overview about the different research techniques whose main goal is to achieve the increase the data integrity level of the shared data. This paper also provides the discussion about various dynamic grouping techniques which tends to provide more flexible access to the user revocation. Different research techniques proposed by various authors has been described and compared their performance in terms of merits and demerits each research technique. The overall evaluation of the research technique is done based on numerical outcome present in each research technique and best research technique has been found

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Section: Discussion Of Different Dynamic Grouping Techniquesmentioning

confidence: 99%

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

Reddy*,

Ravindranadh

2019

IJITEE

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“…Raghavendra et al [23] have presented a reliable multiproprietor information distribution for effective association in the cloud. The advantage of the scheme is that the repository space is efficiently utilized and has reduced the time to query documents from the cloud.…”

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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“…In 2018, N. Rahim et al [14] proposed a scheme to support secure search of images at mobile gallery phone. It encrypt images using a light-weight encryption algorithm on mobile device, and then it is uploaded to the cloud for features extraction to eliminate the computationally expensive process of features extraction on mobile.…”

Section: Related Work 21 Searchable Index Schemesmentioning

confidence: 99%

Searching Techniques over Encrypted Cloud Data

Azza¹,

Saleh²,

Elkafrawy³

2019

IJCA

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Nowadays, large amount of data can be stored in the cloud. To preserve the secrecy of the data, the data must be encrypted. Encryption techniques play a major role when data are outsourced to the cloud, so that only the authenticated users can access. This study focuses on different searching techniques over the encrypted data in cloud. In this paper a comparison between different kinds searchable encryption techniques according to the features of multiple keyword, amount of scale data, search complexity, accuracy, and, amount of storage.

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Index Generation and Secure Multi-user Access Control over an Encrypted Cloud Data

Cited by 16 publications

References 8 publications

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud

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

Searching Techniques over Encrypted Cloud Data

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