Homomorphic Evaluation of the Integer Arithmetic Operations for Mobile Edge Computing
Joint Authors
Zhao, Liang
Gong, Changqing
Li, Mengfei
Guo, Zhenzhou
Han, Guangjie
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
With the rapid development of the 5G network and Internet of Things (IoT), lots of mobile and IoT devices generate massive amounts of multisource heterogeneous data.
Effective processing of such data becomes an urgent problem.
However, traditional centralised models of cloud computing are challenging to process multisource heterogeneous data effectively.
Mobile edge computing (MEC) emerges as a new technology to optimise applications or cloud computing systems.
However, the features of MEC such as content perception, real-time computing, and parallel processing make the data security and privacy issues that exist in the cloud computing environment more prominent.
Protecting sensitive data through traditional encryption is a very secure method, but this will make it impossible for the MEC to calculate the encrypted data.
The fully homomorphic encryption (FHE) overcomes this limitation.
FHE can be used to compute ciphertext directly.
Therefore, we propose a ciphertext arithmetic operation that implements data with integer homomorphic encryption to ensure data privacy and computability.
Our scheme refers to the integer operation rules of complement, addition, subtraction, multiplication, and division.
First, we use Boolean polynomials (BP) of containing logical AND, XOR operations to represent the rulers.
Second, we convert the BP into homomorphic polynomials (HP) to perform ciphertext operations.
Then, we optimise our scheme.
We divide the ciphertext vector of integer encryption into subvectors of length 2 and increase the length of private key of FHE to support the 3-multiplication level additional.
We test our optimised scheme in DGHV and CMNT.
In the number of ciphertext refreshes, the optimised scheme is reduced by 2/3 compared to the original scheme, and the time overhead of our scheme is reduced by 1/3.
We also examine our scheme in CNT of without bootstrapping.
The time overhead of optimised scheme over DGHV and CMNT is close to the original scheme over CNT.
American Psychological Association (APA)
Gong, Changqing& Li, Mengfei& Zhao, Liang& Guo, Zhenzhou& Han, Guangjie. 2018. Homomorphic Evaluation of the Integer Arithmetic Operations for Mobile Edge Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216280
Modern Language Association (MLA)
Gong, Changqing…[et al.]. Homomorphic Evaluation of the Integer Arithmetic Operations for Mobile Edge Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216280
American Medical Association (AMA)
Gong, Changqing& Li, Mengfei& Zhao, Liang& Guo, Zhenzhou& Han, Guangjie. Homomorphic Evaluation of the Integer Arithmetic Operations for Mobile Edge Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216280
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216280