Zhenhu Ning

Dr. Zhenhu Ning


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Mathematical Research Letters
Verified
Journal Article
Closed access
PDF file
ZNZhenhu Ning
Zhenhu Ning
International Press of Boston - publishers of scholarly mathematical and scientific journals and books

2 August 2021 in Concurrency and Computation: Practice and Experience
Verified
Journal Article
Closed access
PDF file
RMRui Mu
Rui Mu
BGBei Gong
Bei Gong
ZNZhenhu Ning
Zhenhu Ning
JZJiangjiang Zhang
Jiangjiang Zhang
YCYang Cao
Yang Cao
XWXiaoping Wang
Xiaoping Wang

29 August 2022 in Concurrency and Computation: Practice and Experience
Verified
Journal Article
Closed access
SZShiqiang Zhang
Shiqiang Zhang
DCDongzhi Cao
Dongzhi Cao
ZNZhenhu Ning
Zhenhu Ning

21 April 2022 in Concurrency and Computation: Practice and Experience
Verified
Journal Article
Closed access
YHYu Hong
Yu Hong
ZNZhenhu Ning
Zhenhu Ning
YSYu Sun
Yu Sun
CSChangxiang Shen
Changxiang Shen

13 March 2018 in Cluster Computing
Verified
Journal Article
Closed access
PDF file
ZNZhenhu Ning
Zhenhu Ning
YYYongli Yang
Yongli Yang
YZYa-Hao Zhang
Ya-Hao Zhang

1 January 2023 in Computers, Materials & Continua
Verified
Journal Article
Open access
PDF file
NKNaixin Kang
Naixin Kang
ZNZhenhu Ning
Zhenhu Ning
SZShiqiang Zhang
Shiqiang Zhang
SRSadaqat Rehman
Sadaqat Rehman
WAWaqas
Waqas
With the development of sensor technology and wireless communication technology, edge computing has a wider range of applications. The privacy protection of edge computing is of great significance. In the edge computing system, in order to ensure the credibility of the source of terminal data, mobile edge computing (MEC) needs to verify the signature of the terminal node on the data. During the signature process, the computing power of edge devices such as wireless terminals can easily become the bottleneck of system performance. Therefore, it is very necessary to improve efficiency through computational offloading. Therefore, this paper proposes an identity-based edge computing anonymous authentication protocol. The protocol realizes mutual authentication and obtains a shared key by encrypting the mutual information. The encryption algorithm is implemented through a thresholded identity-based proxy ring signature. When a large number of terminals offload computing, MEC can set the priority of offloading tasks according to the user’s identity and permissions, thereby improving offloading efficiency. Security analysis shows that the scheme can guarantee the anonymity and unforgeability of signatures. The probability of a malicious node forging a signature is equivalent to cracking the discrete logarithm puzzle. According to the efficiency analysis, in the case of MEC offloading, the computational complexity is significantly reduced, the computing power of edge devices is liberated, and the signature efficiency is improved.