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Dwork, C. (2008) Differential Privacy: A Survey of Results. In: Agrawal, M., Du, D., Duan, Z. and Li, A., Eds., Lecture Notes in Computer Science, Springer Berlin Heidelberg, Springer, 1-19.
https://doi.org/10.1007/978-3-540-79228-4_1

has been cited by the following article:

• TITLE: To Preserve Privacy for Smart Home Security System in Cloud Computing

  AUTHORS: Depeng Li

  KEYWORDS: Electronic Lock, Privacy Model, Privacy Preservation

  JOURNAL NAME: Journal of Information Security, Vol.17 No.1, January 14, 2026

  ABSTRACT: In smart home security system, privacy preservation is highly demanded. Nowadays, security methods such as cryptographical schemes are deployed to protect privacy. However, current systems do not provide any formal privacy model. Therefore, neither a privacy guarantee nor quantification for the privacy loss can be offered. In this paper, a few privacy-related questions have been raised. A novel privacy framework has been proposed that partially answers these questions by utilizing a set of theoretical models, e.g., the hidden Markov model, differential privacy, and information flow. Finally, the e-Lock state changes in the smart home are used as a case study. This paper intends to construct a framework which mainly focuses on theoretical analyses. The development of this system is out of the scope.