Title
Secure k-nearest neighbor query over encrypted data in outsourced environments
Abstract
For the past decade, query processing on relational data has been studied extensively, and many theoretical and practical solutions to query processing have been proposed under various scenarios. With the recent popularity of cloud computing, users now have the opportunity to outsource their data as well as the data management tasks to the cloud. However, due to the rise of various privacy issues, sensitive data (e.g., medical records) need to be encrypted before outsourcing to the cloud. In addition, query processing tasks should be handled by the cloud; otherwise, there would be no point to outsource the data at the first place. To process queries over encrypted data without the cloud ever decrypting the data is a very challenging task. In this paper, we focus on solving the k-nearest neighbor (kNN) query problem over encrypted database outsourced to a cloud: a user issues an encrypted query record to the cloud, and the cloud returns the k closest records to the user. We first present a basic scheme and demonstrate that such a naive solution is not secure. To provide better security, we propose a secure kNN protocol that protects the confidentiality of the data, user's input query, and data access patterns. Also, we empirically analyze the efficiency of our protocols through various experiments. These results indicate that our secure protocol is very efficient on the user end, and this lightweight scheme allows a user to use any mobile device to perform the kNN query.
Year
DOI
Venue
2014
10.1109/ICDE.2014.6816690
international conference on data engineering
Keywords
DocType
Volume
cloud computing,cryptography,data privacy,query processing,relational databases,cloud computing,data access patterns,data confidentiality,data management tasks,encrypted data,kNN protocol,kNN query problem,mobile device,outsourced environments,privacy issues,query processing,relational data,secure k-nearest neighbor query,sensitive data,user input query
Conference
abs/1307.4824
ISSN
Citations 
PageRank 
1084-4627
83
1.96
References 
Authors
17
3
Name
Order
Citations
PageRank
Yousef Elmehdwi11495.42
Samanthula, B.K2873.11
Wei Jiang3953.57