Secure k-NN computation on encrypted cloud data without sharing key with query users

In cloud computing, secure analysis on outsourced encrypted data is a significant topic. As a frequently used query for online applications, secure k-nearest neighbors (k-NN) computation on encrypted cloud data has received much attention, and several solutions for it have been put forward. However, most existing schemes assume the query users are fully trusted and all query users share the total key which is used to encrypt and decrypt data owner's outsourced data. It is constitutionally not feasible in lots of real-world applications. In this paper, we propose a novel secure and efficient scheme for k-NN query on encrypted cloud data in which the key of data owner to encrypt and decrypt ousourced data will not be completely disclosed to any query user. Therefore, our scheme can efficiently support the secure k-NN query on encrypted cloud data even when query users are not trustworthy enough.

[1]  Oded Goldreich,et al.  Foundations of Cryptography: Volume 2, Basic Applications , 2004 .

[2]  Keke Chen,et al.  Privacy preserving data classification with rotation perturbation , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

[3]  A. Yao,et al.  Fair exchange with a semi-trusted third party (extended abstract) , 1997, CCS '97.

[4]  Osmar R. Zaïane,et al.  Privacy Preserving Clustering by Data Transformation , 2010, J. Inf. Data Manag..

[5]  Pascal Paillier,et al.  Public-Key Cryptosystems Based on Composite Degree Residuosity Classes , 1999, EUROCRYPT.

[6]  Mikhail J. Atallah,et al.  Efficient Privacy-Preserving k-Nearest Neighbor Search , 2008, 2008 The 28th International Conference on Distributed Computing Systems.

[7]  Kun Liu,et al.  An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining , 2006, PKDD.

[8]  Nikos Mamoulis,et al.  Secure kNN computation on encrypted databases , 2009, SIGMOD Conference.

[9]  Torben P. Pedersen.  Non-Interactive and Information-Theoretic Secure Verifiable Secret Sharing , 1991, CRYPTO.

[10]  Kun Liu,et al.  A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods , 2008, Privacy-Preserving Data Mining.

[11]  Murat Kantarcioglu,et al.  Secure multidimensional range queries over outsourced data , 2012, The VLDB Journal.

[12]  I. Damglurd.  Unconditionally secure constant-rounds multi-party computation for equality, comparison, bits and exponentiation , 2006 .

[13]  Philip S. Yu,et al.  Privacy-Preserving Data Mining - Models and Algorithms , 2008, Advances in Database Systems.

[14]  Cong Wang,et al.  Achieving usable and privacy-assured similarity search over outsourced cloud data , 2012, 2012 Proceedings IEEE INFOCOM.

[15]  Keke Chen,et al.  Towards Attack-Resilient Geometric Data Perturbation , 2007, SDM.

[16]  Oded Goldreich.  Foundations of Cryptography: Volume 1 , 2006 .

[17]  Andrew Chi-Chih Yao,et al.  Protocols for secure computations , 1982, FOCS 1982.

[18]  Cong Wang,et al.  Privacy-Preserving Query over Encrypted Graph-Structured Data in Cloud Computing , 2011, 2011 31st International Conference on Distributed Computing Systems.

[19]  Vipin Kumar,et al.  Privacy Preserving Nearest Neighbor Search , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

[20]  Cong Wang,et al.  Secure Ranked Keyword Search over Encrypted Cloud Data , 2010, 2010 IEEE 30th International Conference on Distributed Computing Systems.

[21]  Silvio Micali,et al.  How to play ANY mental game , 1987, STOC.

[22]  Cong Wang,et al.  Enabling Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data , 2012, IEEE Transactions on Parallel and Distributed Systems.

[23]  Kristin E. Lauter,et al.  Cryptographic Cloud Storage , 2010, Financial Cryptography Workshops.

[24]  Ming Li,et al.  Toward Privacy-Assured Cloud Data Services with Flexible Search Functionalities , 2012, 2012 32nd International Conference on Distributed Computing Systems Workshops.

[25]  Jianliang Xu,et al.  Processing private queries over untrusted data cloud through privacy homomorphism , 2011, 2011 IEEE 27th International Conference on Data Engineering.

[26]  Ashutosh Saxena,et al.  A cryptography based privacy preserving solution to mine cloud data , 2010, Bangalore Compute Conf..