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State estimation in smart grids plays a pivotal role in system monitoring, reliable operation, automation, and grid stabilization. However, the power consumption data collected from the users during state estimation can be privacy-sensitive. Furthermore, the topology of the grid can be exploited by malicious entities during state estimation to launch attacks without getting detected. Motivated by the essence of a secure state estimation process, we consider a weighted-least-squares estimation carried out batch-wise at repeated intervals, where the resource-constrained clients utilize a malicious cloud for computation services. We propose a secure masking protocol based on data obfuscation that is computationally efficient and successfully verifiable in the presence of a malicious adversary. Simulation results show that the state estimates calculated from the original and obfuscated dataset are exactly the same while demonstrating a high level of obscurity between the original and the obfuscated dataset both in time and frequency domain.<\/jats:p>","DOI":"10.1186\/s42162-019-0078-y","type":"journal-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T14:02:59Z","timestamp":1569592979000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Protecting the grid topology and user consumption patterns during state estimation in smart grids based on data obfuscation"],"prefix":"10.1186","volume":"2","author":[{"given":"Lakshminarayanan","family":"Nandakumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gamze","family":"Tillem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zekeriya","family":"Erkin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamas","family":"Keviczky","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,27]]},"reference":[{"key":"78_CR1","first-page":"48","volume-title":"Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2010, Beijing, China, April 13-16, 2010","author":"MJ Atallah","year":"2010","unstructured":"Atallah, MJ, Frikken KB (2010) Securely outsourcing linear algebra computations In: Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2010, Beijing, China, April 13-16, 2010, 48\u201359.. 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