Anonymous Authentication on Trust in Pervasive Social Networking Based on Group Signature

Feng, Wei; Yan, Zheng; Xie, Haomeng

doi:10.1109/access.2017.2679980

Cited by 22 publications

(41 citation statements)

References 15 publications

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“…But we did not consider how to provide anonymous authentication based on node trust. The work presented in this paper solves the open issue that has not been investigated in our previous work [10,40]. This paper is a continuous study in order to overcome its shortcomings as described in Section 1.…”

Section: Othersmentioning

confidence: 95%

“…The network access adaptation requests that keys for anonymous authentication should be managed in a distributed way by PSN nodes. But considering online social networking structure and the need to trace node identities in case of disputes, a centralized party is also preferred for key management [10]. System design expects a hybrid and holistic solution.…”

Section: Group Signaturementioning

confidence: 99%

“…System design expects a hybrid and holistic solution. Third, efficient revocation is still a challenge in the field of group signature studies [10].…”

Section: Group Signaturementioning

confidence: 99%

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A novel scheme of anonymous authentication on trust in Pervasive Social Networking

Yan

Wang

Feng

2018

Information Sciences

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Pervasive Social Networking (PSN) supports various social activities at any time and in any places with the heterogeneous networks. Trust plays a crucial role in securing PSN. Authenticating trust anonymously is becoming an attractive approach to ensuring trustworthy and privacy-preserving social networking. However, the literature still lacks serious studies on this topic, especially for PSN systems. In this paper, we propose a novel scheme to authenticate PSN node trust in an anonymous and semi-distributed manner. The scheme allows one or multiple Authorized Parties (APs) to announce up-to-date aggregate lists of Integrated Node Trust (INT) for certificateless authenticating trust with anonymity, unforgeability, unlinkability and conditional traceability. In addition, multiple APs can cooperate to flexibly conduct trust authentication without significantly increasing computational overhead. Aggregate signature verification further improves scheme efficiency. Security proof, performance analysis and evaluation show that our scheme is effective with regard to security, privacy preservation, computational complexity, communication cost, efficiency, scalability and flexibility.

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Section: Othersmentioning

confidence: 95%

Section: Group Signaturementioning

confidence: 99%

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A novel scheme of anonymous authentication on trust in Pervasive Social Networking

Yan

Wang

Feng

2018

Information Sciences

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“…The protection provided by -anonymity is easy and simple to understand like if any table hasanonymity for some value than the one who knows only the quasi-identifier of someone cannot recognize the record equivalent to the individual having confidence more than . It provides protection against identity disclosure; it doesn't provide enough protection adjacent to attribute disclosure [16].…”

Section: B K-anonymity In Social Networkingmentioning

confidence: 99%

“…Privacy protection of personal awareness could be improved as an efficient manner for lessening system risk. Wei Feng et al (2017) [16] has presented an anonymous authentication method on the basis of group signature for the authentication at trust levels than node identities for preventing the privacy leakage and for assuring the safe Pervasive Social Networking (PSN) communication. The proposed method has achieved safe anonymous authentication by conditional traceability and anonymity by considering trusted authority (TA).…”

Section: Literature Surveymentioning

confidence: 99%

K-Anonymity Enhancement for Privacy Preservation with Hybridization of Cuckoo Search and Neural Network using Clustering

Kaur¹,

Bhardwaj²

2019

IJITEE

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Expansion of social network and the publication of its data have directed the risk of disclosure of individuals’ confidential information. Privacy preservation is a must thing before service providers publish the network data. In recent years, privacy in social network data has become the most concerned issue as it has gripped our lives in a dramatic manner. Numerous anonymization methods are there that assists in privacy preservation of social networking and among all, kanonymity is the utmost one that helps in providing the security by developing graph and nodes degree. In this manuscript, the enhancement of K-anonymity has been addressed with major changes in node editing methodology. The clusters are developed with the integration of the same degree in one group and the procedure is iterated till the identification of noisy data. An advanced Cuckoo Search is commenced for minimizing the node miss placement in groups. The results of the Cuckoo Search are integrated with Feed Forward Back Propagation Neural Networks to cross-check the structure and to reduce the node miss placement in groups. Average Path Length (APL) and Information parameters are measured for the evaluation and comparative analysis and the effectiveness of the research has been checked by comparing the results of Aanchal Sharma and P. R. Bhaladhare. There is a diminution of 14.6% while comparing APL with Aanchal Sharma and 8.61% and 10.38% of reduction is shown with Aanchal Sharma and P. R. Bhaladhare for Information loss.

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Futuristic AI Convergence of Megatrends

Pandey

Sahu

Kannan

et al. 2022

Ambient Intelligence and Internet of Things

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Anonymous Authentication on Trust in Pervasive Social Networking Based on Group Signature

Cited by 22 publications

References 15 publications

A novel scheme of anonymous authentication on trust in Pervasive Social Networking

A novel scheme of anonymous authentication on trust in Pervasive Social Networking

K-Anonymity Enhancement for Privacy Preservation with Hybridization of Cuckoo Search and Neural Network using Clustering

Futuristic AI Convergence of Megatrends

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