Zhengqiu Weng

Orcid: 0000-0003-4175-6763

According to our database1, Zhengqiu Weng authored at least 13 papers between 2016 and 2025.

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

Timeline

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Bibliography

2025
RT-APT: A real-time APT anomaly detection method for large-scale provenance graph.
J. Netw. Comput. Appl., 2025

2024
Intelligent botnet detection in IoT networks using parallel CNN-LSTM fusion.
Concurr. Comput. Pract. Exp., November, 2024

TrapCog: An Anti-Noise, Transferable, and Privacy-Preserving Real-Time Mobile User Authentication System With High Accuracy.
IEEE Trans. Mob. Comput., April, 2024

2022
EspialCog: General, Efficient and Robust Mobile User Implicit Authentication in Noisy Environment.
IEEE Trans. Mob. Comput., 2022

2021
TLSmell: Direct Identification on Malicious HTTPs Encryption Traffic with Simple Connection-Specific Indicators.
Comput. Syst. Sci. Eng., 2021

2020
A Hybrid Deep Learning System for Real-World Mobile User Authentication Using Motion Sensors.
Sensors, 2020

WebSmell: An Efficient Malicious HTTP Traffic Detection Framework Using Data Augmentation.
Proceedings of the Information Security and Cryptology - 16th International Conference, 2020

2019
A Target Wake Time Scheduling Scheme for Uplink Multiuser Transmission in IEEE 802.11ax-Based Next Generation WLANs.
IEEE Access, 2019

A Target Wake Time Based Power Conservation Scheme for Maximizing Throughput in IEEE 802.11ax WLANs.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018
Leveraging Mobile Nodes for Preserving Node Privacy in Mobile Crowd Sensing.
Wirel. Commun. Mob. Comput., 2018

2017
Data Collection with Privacy Preserving in Participatory Sensing.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016
Evolutionary stable participation game of smartphones in crowdsourced sensing.
Int. J. Distributed Sens. Networks, 2016

A distributed algorithm for maximizing utility of data collection in a crowd sensing system.
Int. J. Distributed Sens. Networks, 2016


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