Yao Wang

Orcid: 0000-0002-4578-4932

Affiliations:
  • Xidian University, School of Cyber Engineering, Xi'an, China
  • Northwestern Polytechnical University, Department of Computer Science and Technology, Xi'an, China


According to our database1, Yao Wang authored at least 11 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Continuous Authentication against Collusion Attacks.
Sensors, 2022

HeartPrint: Exploring a Heartbeat-Based Multiuser Authentication With Single mmWave Radar.
IEEE Internet Things J., 2022

Your Breath Doesn't Lie: Multi-user Authentication by Sensing Respiration Using mmWave Radar.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

BiTouch: enabling secure touch-to-access device pairing based on human body's electrical response.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Enabling secure touch-to-access device pairing based on human body's electrical response.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

2021
Active Attack that Exploits Biometric Similarity Difference and Basic Countermeasures.
Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

2020
Your Eyes Reveal Your Secrets: An Eye Movement Based Password Inference on Smartphone.
IEEE Trans. Mob. Comput., 2020

2019
Secure Your Voice: An Oral Airflow-Based Continuous Liveness Detection for Voice Assistants.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

2018
A Combined Static and Dynamic Analysis Approach to Detect Malicious Browser Extensions.
Secur. Commun. Networks, 2018

GazeRevealer: Inferring Password Using Smartphone Front Camera.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2016
A deep learning approach for detecting malicious JavaScript code.
Secur. Commun. Networks, 2016


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