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Privacy-aware smart city: a case study in collaborative filtering recommender systems
Citation
Zhang, F and Lee, VE and Jin, R and Garg, S and Choo, K-KR and Maasberg, M and Dong, L and Cheng, C, Privacy-aware smart city: a case study in collaborative filtering recommender systems, Journal of Parallel and Distributed Computing, 127 pp. 145-159. ISSN 0743-7315 (2019) [Refereed Article]
Copyright Statement
Copyright 2018 Elsevier Inc.
DOI: doi:10.1016/j.jpdc.2017.12.015
Abstract
Ensuring privacy in recommender systems for smart cities remains a research challenge, and in this paper we study collaborative filtering recommender systems for privacy-aware smart cities. Specifically, we use the rating matrix to establish connections between a privacy-aware smart city and κ-coRating, a novel privacy-preserving rating data publishing model. First, we model privacy concerns in a smart city as the problem of privacy-preserving collaborative filtering recommendation. Then, we introduce κ-coRating to address privacy concerns in published rating matrices, by filling the null ratings with predicted scores. This allows us to mask the original ratings to preserve κ-anonymity-like data privacy, and enhance data utility (quantified using prediction accuracy in this paper). We show that the optimal κ-coRated mapping is an NP-hard problem and design an efficient greedy algorithm to achieve κ-coRating. We then demonstrate the utility of our approach empirically.
Item Details
Item Type: | Refereed Article |
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Keywords: | privacy, Security, IoT |
Research Division: | Information and Computing Sciences |
Research Group: | Distributed computing and systems software |
Research Field: | Distributed systems and algorithms |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS Author: | Garg, S (Dr Saurabh Garg) |
ID Code: | 125154 |
Year Published: | 2019 |
Web of Science® Times Cited: | 17 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2018-04-03 |
Last Modified: | 2020-05-18 |
Downloads: | 0 |
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