Publications

Group highlights

At the end of this page, you can find the full list of publications and patents.

Towards Detection of Zero-Day Botnet Attack in IoT Networks using Federated Learning

Automated IoT devices produce significant data, making them vulnerable to botnet attacks. Traditional centralized AI models for detecting these attacks compromise privacy and are less effective against zero-day threats. This paper introduces a federated learning framework with a novel aggregation algorithm for detecting zero-day botnet attacks, enhancing privacy and performance. Tests on the N-BaIoT dataset show superior results compared to existing methods.

J Zhang, S Liang, F Ye, R Hu, Y Qian

ICC 2023 - IEEE International Conference on Communications

Full List of publications

Automatic Modulation Recognition Across SNR Variability Via Domain Adversary
M Ali, J Zhang
To appear in the 2024 Fall IEEE Vehicular Technology Conference (IEEE VTC 2024)

Reduced-Overhead CSI Feedback for Massive MIMO through Selective Component Processing
F Li, I Udoidiok, J Zhang
To appear in the 2024 Fall IEEE Vehicular Technology Conference (IEEE VTC 2024)

Exploring AI Integration in Software Development: Case Studies and Insights
I Udoidiok, H Reza, J Zhang
To appear in the IEEE National Aerospace and Electronics Conference (2024)

Lightweight Diffusion Model for Synthesizing Malicious Network Traffic
F Li, H Wu, J Zhang
To appear in the IEEE National Aerospace and Electronics Conference (2024)

Cyber Attack Detection in IoT Using Enhanced Stream Classification Algorithm
F Li, M Ali, J Zhang
To appear in the International Symposium on Intelligent Computing and Networking (ISICN 2024)

Explainable Artificial Intelligence Enabled Intrusion Detection in the Internet of Things
M Ali, J Zhang
To appear in the International Symposium on Intelligent Computing and Networking (ISICN 2024)

Towards Detection of Zero-Day Botnet Attack in IoT Networks using Federated Learning
J Zhang, S Liang, F Ye, R Hu, Y Qian
ICC 2023 - IEEE International Conference on Communications

Mitigating Cross-Transport Key Derivation Attacks in Bluetooth Communication
M Ali, J Zhang, F Ye
NAECON 2023-IEEE National Aerospace and Electronics Conference (2023)

Seamless wireless communication platform for Internet of Things applications
V Kumar, J Yu, F Li, J Zhang, F Ye, S Karri, G Subramanyam
IEEE Wireless Communications (2022)

Sustaining the high performance of AI-based network traffic classification models
J Zhang, F Li, F Ye
IEEE/ACM Transactions on Networking 31 (2) (2022)

Network traffic clustering with QoS-awareness
J Zhang, F Li, F Ye
IEEE/CIC China Communications 19 (3) (2022)

Improvement on a traffic data generator for networking AI algorithm development
K Alsulami, J Zhang, F Ye
2021 IEEE Global Communications Conference (GLOBECOM) (2021)

A machine learning approach to modulation detection in wireless communications
V Kumar, F Li, J Zhang, F Ye, G Subramanyam
NAECON 2021-IEEE National Aerospace and Electronics Conference (2021)

A real application enabled traffic generator for networking AI model development
K Alsulami, J Zhang, F Ye
ICC 2021-IEEE International Conference on Communications (2021)

Autonomous unknown-application filtering and labeling for dl-based traffic classifier update
J Zhang, F Li, F Ye, H Wu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications (2020)

An ensemble-based network intrusion detection scheme with Bayesian deep learning
J Zhang, F Li, F Ye
ICC 2020-2020 IEEE International Conference on Communications (2020)

Intelligent and application-aware network traffic prediction in smart access gateways
J Zhang, F Ye, Y Qian
IEEE Network 34 (3) (2020)

Autonomous model update scheme for deep learning based network traffic classifiers
J Zhang, F Li, H Wu, F Ye
2019 IEEE Global Communications Conference (GLOBECOM) (2019)

A UAV based multi-object detection scheme to enhance road condition monitoring and control for future smart transportation
J Yang, J Zhang, F Ye, X Cheng
Artificial Intelligence for Communications and Networks - First EAI (2019)

A distributed network QoE measurement framework for smart networks in smart cities
J Zhang, F Ye, Y Qian
2018 IEEE International Smart Cities Conference (ISC2) (2018)