Scalable and secure data sharing for dynamic groups in cloud

Marimuthu, K.; Gopal, Deepthi; Kanth, Kaushalya; Setty, Srujay; Tainwala, Kunal

doi:10.1109/icaccct.2014.7019398

Cited by 11 publications

(8 citation statements)

References 6 publications

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“…As a hot topic for conflict resolution in crowdsourcing, the privacy issue in truth discovery has attracted significant attention, and various approaches based on cryptography [44][45][46][47][48][49] or differential privacy have been investigated. Miao et al [16] proposed the first privacypreserving approach called PPTD, which relies on the threshold homomorphic cryptosystem [50] to protect the confidentiality of the worker's answers and weights.…”

Section: Related Workmentioning

confidence: 99%

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Wang

Cheng

et al. 2022

Security and Communication Networks

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Nowadays, crowdsourcing has witnessed increasing popularity as it can be adopted to solve many challenging question-answering tasks. One of the most significant problems in crowdsourcing is truth discovery, which aims to find reliable information from conflict answers provided by different workers. Despite the effectiveness for providing reliable aggregated results, existing works on truth discovery either fall short of preserving the workers’ privacy or fail to consider the unfairness issue in their design. In light of this deficiency, we propose a novel private and fair truth discovery approach called PFTD, which is implemented by two non-colluding cloud servers and leverages the Paillier cryptosystem. This approach not only preserves the privacy of the answers of each worker, but also addresses the unfairness issue in crowdsourcing. Extensive experiments conducted on both real and synthetic datasets demonstrate the effectiveness of our proposed PFTD approach.

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Section: Related Workmentioning

confidence: 99%

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Wang

Cheng

et al. 2022

Security and Communication Networks

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“…Hao has applied this method to group signatures, along with a secure group secret key distribution protocol [6]. Sun et al developed a distributed key management(DKM) system in which a protocol group administrator of the region updates the secret key of the group [7]. Existing proposals include authentication methods and conditional privacy features; however, conventional group signature schemes are unsuitable for use in the VANET environment.…”

Section: Node Moving Pattern (Speed and Direction)mentioning

confidence: 99%

Secure Multicast using Proxy Re-Encryption in an IoT Environment

2018

KSII TIIS

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Recently interest in Internet of Things(IoT) has attracted significant attention at national level. IoT can create new services as a technology to exchange data through connections among a huge number of objects around the user. Data communication between objects provides not only information collected in the surrounding environment but also various personalized information. IoT services which provide these various types of data are exposed to numerous security vulnerabilities. If data is maliciously collected and used by an attacker in an IoT environment that deals with various data, security threats are greater than those in existing network environments. Therefore, security of all data exchanged in the IoT environment is essential. However, lightweight terminal devices used in the IoT environment are not suitable for applying the existing encryption algorithm. In addition, IoT networks consisting of many sensors require group communication. Therefore, this paper proposes a secure multicast scheme using the proxy re-encryption method based on Vehicular ad-hoc networks(VANET) environment. The proposed method is suitable for a large-scale dynamic IoT network environment using unreliable servers.

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“…Regardless supporting Dynamic Operations or File Sharing, these works supported third party verifier, which could be a real security risk for data Integrity in the cloud. Few of researchers deal with integrity problem taking in consideration data sharing, Marimuthu et al (Marimuthu,K. et al, 2014) proposed a secure multiowner data sharing scheme, for dynamic group in the cloud and they integrated Image based authentication with it to achieve high level of security in authenticating the use.…”

Section: Related Workmentioning

confidence: 99%

“…But when a user want to access data, he/she should sends a download request to the third part (that is responsible for key management, encryption, decryption, and access control) which could be one of threats on data. So, Marimuthu et al (Marimuthu,K. et al, 2014) and Aarthi and Indira (Aarthi, 2016) used different types of hashing and encryption and supported File Sharing but didn't support dynamic operations on these files.…”

Section: Related Workmentioning

confidence: 99%

A Model to Detect the Integrity Violation of Shared File in the Cloud

S.¹,

T.²

2017

PTCJRS

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Many of cloud service providers pretend that user’s data is saved securely with no data integrity violation. But as we know, anything saved in the internet environment can’t be perfectly safe which reduce users trust that their files in safe situation, then they can’t store sensitive data in the cloud. In this work, we work on the problem of integrity of shared data over the cloud and a new model was built with dynamic data operation support. This model contains an intermediate system to detect file integrity violation by hashing the file, using SHA-256 algorithm, before saving it on the cloud and after retrieving it, then compare the two hash values.Several experiments were conducted to ensure the ability of detecting data integrity violation, different sizes of .doc files starting from 13KB, ending with 5MB were collected. On the other hand, different types of tests were conducted to evaluate the accuracy and concurrent access. The evaluation process proves that our intermediate system is able to guarantee Files accuracy and detect many types of file modifications. Also, it is able to organize concurrent access operations on shared file and enable just one user to modify File at the same point.Keywords-cloud computing, integrity detection, shared file, dynamic data operations, accuracy, concurrent access

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Scalable and secure data sharing for dynamic groups in cloud

Cited by 11 publications

References 6 publications

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Secure Multicast using Proxy Re-Encryption in an IoT Environment

A Model to Detect the Integrity Violation of Shared File in the Cloud

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