Yanli Wang

Ms. Yanli Wang

Qufu Normal University

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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1 September 2020 in International Journal of Intelligent Systems
Verified
Journal Article
Closed access
PDF file
YWYilei Wang
Yilei Wang
GYGuoyu Yang
Guoyu Yang
TLTao Li
Tao Li
LZLifeng Zhang
Lifeng Zhang
YWYanli Wang
Yanli Wang
XYXiaomei Yu
Xiaomei Yu

24 February 2021 in Security and Communication Networks
Verified
Journal Article
Open access
PDF file
Fengyin LiFengyin Li
Fengyin Li
PRPei Ren
Pei Ren
GYGuoyu Yang
Guoyu Yang
YSYuhong Sun
Yuhong Sun
YWYilei Wang
Yilei Wang
HZHuiyu Zhou
Huiyu Zhou
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. As an important part of the Internet of Things (IoT), wireless sensor networks (WSNs) have been widely used in military, transportation, medical, and household fields. However, in the applications of wireless sensor networks, the adversary can infer the location of a source node and an event by backtracking attacks and traffic analysis. The location privacy leakage of a source node has become one of the most urgent problems to be solved in wireless sensor networks. To solve the problem of source location privacy leakage, in this paper, we first propose a proxy source node selection mechanism by constructing the candidate region. Secondly, based on the residual energy of the node, we propose a shortest routing algorithm to achieve better forwarding efficiency. Finally, by combining the proposed proxy source node selection mechanism with the proposed shortest routing algorithm based on the residual energy, we further propose a new, anonymous communication scheme. Meanwhile, the performance analysis indicates that the anonymous communication scheme can effectively protect the location privacy of the source nodes and reduce the network overhead.

22 November 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Fengyin LiFengyin Li
Fengyin Li
Ying WangYing Wang
Ying Wang
HJHongwei Ju
Hongwei Ju
YWYanli Wang
Yanli Wang
ZWZhaojie Wang
Zhaojie Wang
HZHuiyu Zhou
Huiyu Zhou
Anonymous technology is an effective way for protecting users’ privacy. Anonymity in sensor networks is to prevent the unauthorized third party from revealing the identities of the communication parties. While, in unstable wireless sensor networks, frequent topology changes often lead to route-failure in anonymous communication. To deal with the problems of anonymous route-failure in unstable sensor networks, in this paper we propose a fully anonymous routing protocol with self-healing capability in unstable sensor networks by constructing a new key agreement scheme and proposing an anonymous identity scheme. The proposed protocol maintains full anonymity of sensor nodes with the self-healing capability of anonymous routes. The results from the performance analysis show that the proposed self-healing anonymity-focused protocol achieves full anonymity of source nodes, destination nodes, and communication association.

13 November 2020 in Journal of Ambient Intelligence and Humanized Computing
Verified
Journal Article
Closed access
PDF file
YWYanli Wang
Yanli Wang
YWYilei Wang
Yilei Wang
ZWZhaojie Wang
Zhaojie Wang
GYGuoyu Yang
Guoyu Yang
XYXiaomei Yu
Xiaomei Yu

29 May 2021 in Security and Communication Networks
Verified
Journal Article
Open access
PDF file
TLTao Li
Tao Li
YCYuling Chen
Yuling Chen
YWYanli Wang
Yanli Wang
YWYilei Wang
Yilei Wang
MZMinghao Zhao
Minghao Zhao
YYYixian Yang
Yixian Yang
In the article titled “Rational Protocols and Attacks in Blockchain System” [1], a number of references in Figures 2–4 are incorrect due to an error made during the preparation of the manuscript. The corrected figures with the updated numbering are shown as follows.