An efficient graph community clustering and ranking-based cryptographic privacy preserving framework on large social databases-Reference-Cited by-同舟云学术

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An efficient graph community clustering and ranking-based cryptographic privacy preserving framework on large social databases

Published:2024-07-23 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

M Shamila.¹²^ORCID,Rekha G.³,Vinuthna Reddy K.⁴

Affiliation:

1. Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur, India

2. Department of CSE (AI & ML), Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India

3. Department of CSE, Koneru Lakshmaiah Education Foundation, Aziz Nagar, Hyderabad, India

4. Department of CSE, Neil Gogte Institute of Technology, Hyderabad, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2380351

Reference33 articles.

1. Enhancing the privacy risk awareness of teenagers in online social networks through soft-paternalism mechanisms

2. NRDL: Decentralized user preference learning for privacy-preserving next POI recommendation

3. Decentralized privacy preserving services for Online Social Networks

4. Peer privacy protection motivation and action on social networking sites: Privacy self-efficacy and information security as moderators

5. Distributed dynamic online learning with differential privacy via path-length measurement

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