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Gang Wang
Observed name:
Wang, Gang
Institution:
Inner Mongolia University of Technology
Observed institutions:
University of Illinois Urbana-Champaign,
Nankai University,
China Academy of Engineering Physics,
Shaanxi Police College,
Inner Mongolia University of Technology,
Virginia Tech
show all 6
ORCID:
0000-0003-1110-8140
Observed ORCID:
0000-0003-1110-8140
OpenAlex ID:
A5100367442
Comparative study on different neural networks for network security situation prediction
2020
·
Gang Wang
·
Security and Privacy
·
22
Automatic IoT Device Classification using Traffic Behavioral Characteristics
2019
·
Alexander Hsu
, Joseph Tront
, et al.
·
IEEE SoutheastCon
·
15
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
2024
·
Zhao, Sinong
, Wang, Wenrui
, et al.
·
arXiv (Cornell University)
·
9
PDF
Research on modeling method of power system network security risk assessment based on object-oriented Bayesian network
2021
·
Yueli Dong
, Bin Sun
, et al.
·
Energy Reports
·
9
PDF
Towards Continuous Integrity Attestation and Its Challenges in Practice: A Case Study of Keylime
2025
·
Margie Ruffin
, Chenkai Wang
, et al.
·
International Conference on Dependable Systems & Networks/Proceedings
·
7
MLHat: Deployable Machine Learning for Security Defense
2021
·
Gang Wang
, Arridhana Ciptadi
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
1
An Encrypted Anomaly Traffic Detection Method Integrating Adversarial Training and Multi-scale Contrastive Learning
2026
·
Gang Wang
, Yunpeng Gao
, et al.
·
Lecture notes in computer science
DDF-Net: A Cloud Computing Load Forecasting Method Integrating Spatiotemporal and Time-Frequency Domain Information
2024
·
Yingjian Li
, Yongsheng Wang
, et al.
·
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Host Protection State Anomaly Detection Based on Multidimensional Features
2023
·
Dong Liu
, Gang Wang
, et al.
·
China Automation Congress (CAC)
Network Risk Assessment Method Based on Residual Risk Analysis
2023
·
Hao Jing
, Peizhi Yan
, et al.
·
Lecture notes in computer science
PDF
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Works count:
10
Citation count:
63
H-index:
5
I10-index:
2
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