Yuexin Zhang

Dr. Yuexin Zhang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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11 October 2021 in IEEE Internet of Things Journal
Verified
Journal Article
Closed access
HZHong Zhao
Hong Zhao
YZYuexin Zhang
Yuexin Zhang
XHXinyi Huang
Xinyi Huang
YXYang Xiang
Yang Xiang
Chunhua SuChunhua Su
Chunhua Su
Due to the characteristics of wireless network transmission, smart home devices are vulnerable to malicious attacks. Malicious attackers can not only intercept the transmission data of smart home devices to grasp the user’s personal privacy information but also can eavesdrop the transmission between devices to forge the user’s legal information. These attacks have brought great security risks to people’s daily lives. In order to ensure the security of transmitted data, establishing keys for smart home devices is necessary. In this article, an adaptive physical-layer key generation scheme based on received signal strength (RSS) is proposed in Smart Homes. The scheme performs group quantization and adaptive quantization on the collected RSS measurements. The design of group quantization improves the randomness of the generated keys and makes 0 and 1 in generated keys more evenly distributed. The advantage of adaptive quantization is to design adaptive quantization intervals. The smart home devices can select the appropriate quantized reference levels according to the RSS measurements in different scenarios. In order to verify the practicability of the key generation scheme, we analyze the performance of the proposed scheme in static and dynamic scenarios. In addition, this scheme is compared with other key generation schemes from various performance indicators. The comparison results show that our scheme is better than other schemes in terms of randomness.

19 December 2019 in IEEE Access
Verified
Journal Article
Open access
FWFeng Wang
Feng Wang
LXLi Xu
Li Xu
KCKim-Kwang Raymond Choo
Kim-Kwang Raymond Choo
YZYuexin Zhang
Yuexin Zhang
CLChangfeng Li
Changfeng Li
Jiguo LiJiguo Li
Jiguo Li
Ensuring the integrity of outsourced data is one of several functional requirements in cloud storage services, although designing an effective and secure public auditing scheme remains an ongoing research challenge. For example, a number of existing schemes are designed based on symmetric bilinear pairing, which are computationally expensive. While certificate-based auditing schemes can simplify certificate management and mitigate key escrow concern, such schemes are not popular in the literature. Therefore, we propose a lightweight certificate-based public/private auditing scheme based on asymmetric bilinear pairing for cloud storage. Specifically, we describe a new method of designing lightweight auditing schemes. Additionally, our proposed scheme is proven to be secure in the random oracle model. We then implement our scheme by using type D curve of the pairing-based library. The findings demonstrate that our auditing scheme significantly reduces client’s computation cost in the tag-generation (TagGen) phase, particularly in comparison to several other competing schemes. For example, when the block size is 10 KB, our on-line computation cost in the TagGen phase takes only 0.45 seconds, while it requires at least 62.83 seconds in other schemes. Furthermore, the findings show that when the number of blocks is fixed, the on-line computation cost in our TagGen phase is constant despite varying file sizes.

21 March 2023 in Separation and Purification Technology
Verified
Journal Article
Closed access
Chang LiuChang Liu
Chang Liu
CFChuan Fu
Chuan Fu
TLTingzhen Li
Tingzhen Li
Panyue ZhangPanyue Zhang
Panyue Zhang
YXYaping Xia
Yaping Xia
JGJiacheng Gui
Jiacheng Gui

25 October 2019 in IEEE Internet of Things Journal
Verified
Journal Article
Closed access
YZYuexin Zhang
Yuexin Zhang
XHXinyi Huang
Xinyi Huang
XCXiaofeng Chen
Xiaofeng Chen
LZLeo Yu Zhang
Leo Yu Zhang
JZJun Zhang
Jun Zhang
YXYang Xiang
Yang Xiang

22 August 2019 in IEEE Internet of Things Journal
Verified
Journal Article
Closed access
YZYuexin Zhang
Yuexin Zhang
HZHong Zhao
Hong Zhao
YXYang Xiang
Yang Xiang
XHXinyi Huang
Xinyi Huang
XCXiaofeng Chen
Xiaofeng Chen
To secure the communications of home area networks, cryptographic keys need to be establish between smart home devices. Though many key agreement schemes have been proposed, they cannot be directly implemented. It is due to the reason that in some applications, smart home devices have no access to the online trusted third party. Moreover, in certain scenarios, the smart home devices are manufactured by different factories. As a result, it is a challenge to securely establish the communication keys using the secrets pre-loaded by different factories. A few key agreement schemes are designed without using the online trusted third party and the pre-loaded secrets. However, there are some problems in these schemes. In this paper, we improve these schemes and design a key agreement scheme for smart homes such that, the devices can automatically and securely establish the communication key. Specifically, our scheme is designed by making use of the secret mismatch problem (exists in the physical layer secret extraction schemes). We prove the security of the proposed scheme and present a prototype implementation. Additionally, we analyse the performance of our scheme and compare it with that of other related works. The comparison shows that our key agreement scheme can fix the problems in the related works, however, it introduces some extra communication consumptions.

27 January 2025 in IEEE Transactions on Information Forensics and Security
Verified
Journal Article
Closed access
YWYamei Wang
Yamei Wang
YZYuexin Zhang
Yuexin Zhang
AYAyong Ye
Ayong Ye
Jian ShenJian Shen
Jian Shen
DWDerui Wang
Derui Wang
YXYang Xiang
Yang Xiang
In cloud Electronic Medical Records (EMRs), health-related private information such as genetics and diseases is contained. Thus, the secure ownership transfer protocol should protect users’ privacy. In certain scenarios, some users, including patients, doctors, medical and research institutions, may be offline. As a result, existing protocols cannot be directly employed. Motivated by these observations, in this paper we propose a secure and efficient ownership transfer for cloud EMRs auditing protocol. Specifically, our protocol allows the existence of offline users while ensuring users anonymity, it is achieved using different signature constructions. Additionally, a tracing mechanism is introduced to safeguard against malicious users. We rigorously prove the security of our protocol, comprehensively evaluate the performance of it, and compare our protocol with a few closely relevant protocols. According to the evaluations, our protocol significantly improves ownership transfer efficiency while achieving additional functionalities, including public verifiability, multi-ownership transferability, anonymity, and traceability.