Please use this identifier to cite or link to this item:
https://doi.org/10.1145/1559845.1559851
DC Field | Value | |
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dc.title | Secure outsourced aggregation via one-way chains | |
dc.contributor.author | Nath, S. | |
dc.contributor.author | Yu, H. | |
dc.contributor.author | Chan, H. | |
dc.date.accessioned | 2013-07-04T08:41:59Z | |
dc.date.available | 2013-07-04T08:41:59Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Nath, S.,Yu, H.,Chan, H. (2009). Secure outsourced aggregation via one-way chains. SIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems : 31-44. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1559845.1559851" target="_blank">https://doi.org/10.1145/1559845.1559851</a> | |
dc.identifier.isbn | 9781605585543 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/42044 | |
dc.description.abstract | We consider the Outsourced Aggregation model, where sensing services outsource their sensor data collection and aggregation tasks to third-party service providers called aggregators. As aggregators can be untrusted or compromised, it is essential for a sensing service to be able to verify the correctness of aggregation results. This work presents SECOA, a framework with a family of novel and optimallysecure protocols for secure outsourced aggregation. Our framework is based on a unified use of one-way chains. It supports a large and diverse set of aggregate functions, can have multiple hierarchically organized aggregators, can deterministically detect any malicious aggregation behavior without communication with sensors, and incurs a small and workload-independent communication load on sensors. We also present extensive evaluation results to demonstrate the feasibility of our framework. © 2009 ACM. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1559845.1559851 | |
dc.source | Scopus | |
dc.subject | Secure outsourced aggregation | |
dc.subject | Wide-area sensing | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1145/1559845.1559851 | |
dc.description.sourcetitle | SIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems | |
dc.description.page | 31-44 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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