Bo Gao

Orcid: 0000-0002-1787-6194

Affiliations:
  • Nanjing University of Science and Technology, School of Automation, School of Electronics and information engineering, China (PhD 2025)


According to our database1, Bo Gao authored at least 11 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Lightweight Graph Mining for Website Fingerprinting Guided by Structure Knowledge.
IEEE Trans. Comput. Soc. Syst., February, 2026

IoT-TSO: An Unsupervised Method for Classifying Malicious IoT Traffic via Tensor Self-Optimization.
IEEE Trans. Netw. Sci. Eng., 2026

2025
STAP: Leveraging State-Transition Adversarial Perturbations for Asymmetric Website Fingerprinting Defenses.
IEEE Trans. Netw. Serv. Manag., December, 2025

Lightweight Identification of Malicious IoT Traffic via Cross-View Knowledge Distillation.
IEEE Internet Things J., October, 2025

Empowering Anomaly Detection in IoT Traffic Through Multiview Subspace Learning.
IEEE Internet Things J., June, 2025

WF-A2D: Enhancing Privacy With Asymmetric Adversarial Defense Against Website Fingerprinting.
IEEE Trans. Inf. Forensics Secur., 2025

Multi-Level Resource-Coherented Graph Learning for Website Fingerprinting Attacks.
IEEE Trans. Inf. Forensics Secur., 2025

QuicCourier: Leveraging the Dynamics of QUIC- Based Website Browsing Behaviors Through Proxy for Covert Communication.
IEEE Trans. Dependable Secur. Comput., 2025

IoT-AMLHP: Aligned multimodal learning of header-payload representations for resource-efficient malicious IoT traffic classification.
Ad Hoc Networks, 2025

2024
Resource Knowledge-Driven Heterogeneous Graph Learning for Website Fingerprinting.
IEEE Trans. Cogn. Commun. Netw., June, 2024

M2VT-IDS: A multi-task multi-view learning architecture for designing IoT intrusion detection system.
Internet Things, April, 2024


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