4.7 Article

Efficient computation outsourcing for inverting a class of homomorphic functions

期刊

INFORMATION SCIENCES
卷 286, 期 -, 页码 19-28

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.07.017

关键词

Computation outsourcing; Homomorphic function; Security; Privacy

资金

  1. National Natural Science Foundation of China [61379154, 61373153, 61170229, U1135001]
  2. Specialized Research Fund for the Doctoral Program of Higher Education [SRFDP 20110073110016, 20120171110027]

向作者/读者索取更多资源

The rise of cloud computing and the proliferation of mobile devices make computation outsourcing popular. However, the servers are not fully trusted, and a critical problem is the verifiability and privacy of such computations. Although some computation outsourcing schemes provided a general method, the complicated cryptographic tools involved result in great inefficiency. The existing efficient computation outsourcing schemes however aim only at a specific computation task, lacking in generality. In this paper, we show how to construct a generic outsourcing computation scheme for inverting a class of homomorphic functions with computation disequilibrium. Extensive analysis shows that many cryptographic computations fall into this category. The formal security analysis proves that our scheme satisfies verifiability, input and output privacy in information-theoretic sense. Since the construction of our scheme tactfully takes advantage of the intrinsic property of the computation task being outsourced, no public key operations are used in the scheme, thus our solution clearly outperforms the existing schemes in terms of efficiency. In addition, we instantiate our generic construction with concrete examples, and the experimental result testifies the efficiency of our construction. (C) 2014 Elsevier Inc. All rights reserved.

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