Ayong Ye

Fujian Normal University

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i-10 index

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Co-Authors

Li Xu

Fujian Normal University

Yuexin Zhang

Fujian Normal University

Yiqing Diao

Fujian Normal University

Qiuling Chen

Fujian Normal University

Jiaomei Zhang

Fujian Normal University

Qiuling Chen

Henan University of Technology

Jianwei Chen

Czech Academy of Sciences, Institute of Geology

Qiang Zhang

Hanzhong Central Hospital

Jinbo Xiong

Fujian Normal University

Lingyu Meng

Fujian Normal University

Cooperative Institutions

Fujian Normal University

Xidian University

State Key Laboratory of Cryptology

Chinese Academy of Sciences

Shanghai Jiao Tong University

Xiamen University

University of Science and Technology of China

South China University of Technology

Beijing Jiaotong University

University of Chinese Academy of Sciences

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i-10 index

Research Field

A Continuous Authentication Scheme for Digital Therapeutics Using Denoising Autoencoder

Chengling Wang Yunru Ma Yuexin Zhang Ayong Ye Li Xu

In healthcare, digital therapeutics provides users with better services in terms of preventing, managing and treating diseases. However, it is a non-trivial task to ensure the security of digital therapeutics. In some scenarios, for example, the wearable biosensors might be used by others or violated by malicious adversaries. When these happen, the patient's treatment might be affected. Investigation shows that conventional one-time login authentication mechanism cannot solve the above problems. Motivated by these observations, in this paper we present a continuous authentication scheme for digital therapeutics using denoising autoencoder. Specifically, it achieves user-transparent re-authentication when users wear the wearable devices. To improve the re-authentication rate, the denoising autoencoder is employed to learn gait features using three-axis acceleration data. To illustrate the practicality, we evaluate the performance of our scheme using public datasets and compare it with that of relevant schemes. The results show that the re-authentication rate of our scheme reaches 92.8%, and it works well no matter users' activities (walking, sitting, running and/or jumping, etc).

Autoencoder

10.1145/3638782.3638785

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Study on Cooperation in Mobile Ad Hoc Networks

Mini-micro Systems (2005)

Ayong Ye Xu Li

With the own characters and application environment,Mobile Ad Hoc network still exit some new problem.The more and more researchers are take attention to cooperative problem.By simulation with NS-2,this paper analyzes the effect of cooperation in global network performance and energy consumption firstly.Study indicates the cooperation is the hidden trouble of mobile Ad Hoc network routing protocol.Guaranteeing cooperation in each node is the essential security demand of MANET.On the other hand,this paper also proposes a restricted cooperation based energy conservation strategy.

Geocast

Source

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Robust Node Positioning in Wireless Sensor Networks

IEICE Transactions on Communications (2009)

Ayong Ye Jianfeng Ma Xiaohong Jiang Susumu Horiguchi

Secure sensor localization is a prerequisite for many sensor networks to retrieve trustworthy data. However, most of existing node positioning systems were studied in trust environment and are therefore vulnerable to malicious attacks. In this work, we develop a robust node positioning mechanism(ROPM) to protect localization techniques from position attacks. Instead of introducing countermeasures for every possible internal or external attack, our approach aims at making node positioning system attack-tolerant by removing malicious beacons. We defeat internal attackers and external attackers by applying different strategies, which not only achieves robustness to attacks but also dramatically reduces the computation overhead. Finally, we provide detailed theoretical analysis and simulations to evaluate the proposed technique.

Beacon

Robustness

Trustworthiness

Sensor node

10.1587/transcom.e92.b.2023

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A novel location privacy-preserving scheme based on l-queries for continuous LBS

Computer Communications (2016)

Ayong Ye Yacheng Li Li Xu

Cloaking

Location-based service

k-Anonymity

Trusted third party

10.1016/j.comcom.2016.06.005

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Citations (25)

A robust location fingerprint based on differential signal strength and dynamic linear interpolation

Security and Communication Networks (2016)

Ayong Ye Jianfei Sao Qi Jian

Received signal strength RSS in wireless networks is widely adopted for indoor positioning purpose because of its low cost and open access properties. However, the popular RSSs are observed to differ significantly from discrete devices' hardware even under the same wireless conditions. Signal strength difference-based approach is an efficient strategy to overcome the drawbacks of RSSs. In this paper, we present a robust location fingerprint based on SSD. Firstly, a beacon selection algorithm is proposed to choose the beacons that have the best distinguishing results and stability as reference beacons. Secondly, a robust location fingerprint based on differential signal strength and dynamic linear interpolation is suggested to reduce the high labor cost in offline phase. The evaluation results show that the proposed approaches can achieve higher accuracy and robustness. Copyright © 2016 John Wiley & Sons, Ltd.

Signal strength

SIGNAL (programming language)

Interpolation

10.1002/sec.1565

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Citations (10)

Key Extraction Using Ambient Sounds for Smart Devices

ACM Transactions on Sensor Networks (2022)

Yuexin Zhang Fengjuan Zhou Xinyi Huang Li Xu Ayong Ye

To secure communications, this article presents a key extraction scheme for smart devices using ambient sounds. Specifically, it is designed for the scenario when smart devices do not have any pre-loaded secrets. Moreover, it can be implemented when smart devices have no access to the online trusted third party or the Network Time Protocol server. In our scheme, smart devices achieve synchronization by making use of ambient sounds. Then, they calculate and obtain the pairing distance and secure distance by applying a band-pass filter. Completing these operations, two smart devices can directly extract a communication key. We analyze the security of our scheme and evaluate the performance of it by implementing the scheme using a few off-the-shelf devices. The experimental results indicate that compared with related schemes, the bit generation rate of our scheme has significant improvement (increases at least 80%), and it can reach 312 bit/s.

Smart device

10.1145/3544108

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A Defense Mechanism Against Location Cheating Attack in Social Network

Qing Li Ayong Ye Li Da Xu

With the gradual popularity of location-based social network service, the localization technologies, for example the WLAN-based positioning technique, have become the premise of the service. Nevertheless, the positioning system is vulnerable to spoofing attack resulting in the user's identity divulged, due to the openness of the wireless network. The paper firstly implements a location cheating attack by means of fake base stations to make the device locate to the specific position, which illustrates the potential risk of leakage of the user's private information. And then a mechanism is proposed to resist the attack by extracting the Access Point (AP) frames to construct corresponding AP tag and verifying the AP tag's consistency with its unpredictability, which can improve the robustness of terminal positioning. Finally, the security of the defense method is analyzed from the theoretical aspects.

Robustness

Hybrid positioning system

Spoofing attack

10.1109/dsc.2017.76

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A Road-Network Based Privacy-Preserving Approach in Trajectory Publishing

網際網路技術學刊 (2017)

Ayong Ye Yongxing Zheng Li Xu Yuexin Zhang

The increasing abundance of data in the trajectories of personal movement opens up new opportunities for analyzing and mining human mobility. But the inherent personal information in the data raises the privacy concern. In this paper, we propose a novel approach to protect the privacy of trajectory data in publishing; it is the first paper to present the idea that publishing the trajectory data according to the road network. First, we partition the trajectory into several fragments, location points in each fragment lie on the same road segment. Second, we cluster trajectory fragments into subclasses according to their similar movement characteristics on the same road segment. Finally, we anonymize trajectories in each class by constructing reasonably representative trajectory. The performance of our approach is evaluated based on simulation and real-world trajectories datasets. And the results show the effectiveness of our approach.

Data publishing

10.6138/jit.2017.18.4.20160602

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Citations (2)

DE-DFKD: diversity enhancing data-free knowledge distillation

Multimedia Tools and Applications (2024)

Yanni Liu Ayong Ye Qiulin Chen Yuexin Zhang Jianwei Chen

10.1007/s11042-024-20193-z

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The dummy‐based trajectory privacy protection method to resist correlation attacks in Internet of Vehicles

Concurrency and Computation Practice and Experience (2022)

Qiuling Chen Ayong Ye Ziwen Zhao Jinbo Xiong

Summary Existing dummy‐based trajectory privacy protection schemes do not take into account the correlation of multiple locations and whether the generated trajectory based on dummies matches the user's movement mode, which enables the adversary to identify some dummies. Aiming at this problem, to ensure that the generated trajectories match the movement modes of users, historical query trajectories of users are selected. In this way, the generated dummies on the selected historical query trajectories are based on the location relationship of adjacent time and the background information constraint of the dummy, namely, they should meet the time reachability, the similarity of historical query probability and the maximum in‐degree. Security analysis shows that the proposed scheme effectively perturbs the spatiotemporal correlation between the real location and dummies. Furthermore, the proposed scheme is compared with the existing schemes in terms of single‐point location exposure risk and trajectory exposure risk, and the experimental results indicate that the proposal has significant improvement in location privacy protection of the user.

Privacy Protection

Similarity (geometry)

10.1002/cpe.7154

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Citations (2)