NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols | Zendy

Rafiullah Khan | Zendy; Mohib Ullah | Zendy; Atif Khan | Zendy; M. Irfan Uddin | Zendy; Maha Al-Yahya | Zendy

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NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols

Author(s) -

Rafiullah Khan,

Mohib Ullah,

Atif Khan,

M. Irfan Uddin,

Maha Al-Yahya

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6651662

Subject(s) - computer science , private information retrieval , personally identifiable information , information sensitivity , information retrieval , computer security , ranking (information retrieval) , recall , identity (music) , internet privacy , precision and recall , artificial neural network , identity theft , world wide web , artificial intelligence , physics , acoustics , philosophy , linguistics

Institute of Computer Science & Information Technology, e University of Agriculture, Peshawar, Pakistan Department of Computer Science, Islamia College Peshawar, Peshawar, KP, Pakistan Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan Department of Information Technology, College of Computer and Information Sciences, King Saud University, P. O. Box 145111, 4545 Riyadh, Saudi Arabia

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