Attribute-based public integrity auditing for shared data with efficient user revocation in cloud storage

Gudeme, Jaya Rao; Pasupuleti, Syam Kumar; Kandukuri, Ramesh

doi:10.1007/s12652-020-02302-6

Cited by 18 publications

(14 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time required, in seconds, to implement our MBCS scheme is computed in terms of steps required for its execution for every user (Gudeme et al. 2020 ; Peng et al. 2021 ; Kaur and Khanna 2020 ) where each biometric is an M by N image as enumerated below.…”

Section: Discussion Of Results and Complexity Evaluationmentioning

confidence: 99%

“…Furthermore, more recently, human biometrics are assuming important roles in engineering technology and security including blockchains, Internet of things (IoT) and cloud computing (Gudeme et al. 2020 ). The preponderance and ubiquity of human biometric information make it imperative to invest in securing such biometric data.…”

Section: Introductionmentioning

confidence: 99%

“…Our choice of cancellable biometric systems (CBS) is motivated by its proven capability to facilitate the required updates to biometric information whenever needed without affecting the rest of the system (Gudeme et al. 2020 ; Peng et al. 2021 ; Kaur and Khanna 2020 ; Wang et al.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

El-Rahiem

Amin

Sedik

et al. 2021

J Ambient Intell Human Comput

View full text Add to dashboard Cite

Section: Discussion Of Results and Complexity Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

El-Rahiem

Amin

Sedik

et al. 2021

J Ambient Intell Human Comput

View full text Add to dashboard Cite

“…IaaS cloud includes management such as the generation of computing resources to a certain extent in a network layer for a specific geographical area through fog computing [5]. Furthermore, a program interface similar to this which enables customizable computing instances also needs to be provided [6].…”

Section: Related Research 21 Smart Traffic Network Environment Modelmentioning

confidence: 99%

A Study on Surveillance Service for Vehicles based on Cryptography using Attributes

Yang¹,

Cha²,

Song³

2021

JHSTI

View full text Add to dashboard Cite

Massive amounts of data are sent and received in a vehicle traffic network, data involving countless vehicles, movements of people in the hundreds of millions, and their data, which get bundled with external environment data. The gathered data must at least be shared with legitimate users and depending on the situation data access privileges also need to be controlled. Because data between vehicles and the fog server may be subject to personal privacy infringement, a security technique must be introduced, such as encryption. To ensure secure sharing and use of data by users of a service, an encryption scheme is needed. Furthermore, delegation and revocation of decryption privileges are needed with this encryption scheme, concerning data encrypted based on user attributes. In this paper, we proposed a system that is safe from open recruitment attacks using an attribute-based authority delegation management method. The proposed system proved safe against publicly recruited attacks by malicious users using a semantic safety model. The proposed system can be applied to protect against smart car attacks. In the future, the encryption and calculation load will be reduced.

show abstract

“…Identity privacy is preserved using a modification record table to record operation information. Different variations of signature algorithms, such as blind signature, random sampling, ID-based privacy, and attribute-based signature are used by multiple researchers during auditing [22]- [28]. Attribute-based signatures are based on attribute-based cryptography [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Chaudhari¹,

Swain²

2021

IJACSA

View full text Add to dashboard Cite

Cloud Server (CS) is an untrusted entity in cloud paradigm that may hide accidental data loss to maintain its reputation. Provable Data Possession (PDP) is a model that allows Third Party Auditor (TPA) to verify the integrity of outsourced data on behalf of cloud user without downloading the data files. But this public auditing model faces many security and performance issues such as: unnecessary computational burden on user as well as on TPA, to preserve identities of users from TPA during auditing, support for dynamic updates etc. Many PDP schemes creates computational burden either on TPA or Cloud User. To balance this overhead between TPA and User, this paper proposes Privacy-Preserving Dynamic Provable Data Possession (P 2 DPDP) scheme, which is based on ODPDP scheme. In ODPDP scheme, user relieves the burden by signing a contract with TPA regarding verification of his outsourced data. But this scheme generates computation overhead on TPA. To reduce this computation overhead of TPA, our P 2 DPDP scheme uses Indistinguishability Obfuscation (IO) with one-way function such as message authentication code to make a lightweight auditing process. P 2 DPDP scheme uses Rank-based Merkle Tree (RBMT) to support dynamic updates in batch mode which greatly reduces computation overhead of TPA. ODPDP lacks privacy which is maintained in P 2 DPDP using ring signature technique. Our experimental results demonstrate the reduced verification time and computation cost compared to existing schemes.

show abstract

Attribute-based public integrity auditing for shared data with efficient user revocation in cloud storage

Cited by 18 publications

References 44 publications

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream

A Study on Surveillance Service for Vehicles based on Cryptography using Attributes

Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Contact Info

Product

Resources

About