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Tao Wang

Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: Tao.Wang@unt.edu

Education

  • PhD, University of South Florida, 2019
    Major: Computer Science and Engineering

Teaching

Teaching Experience

    University of North Texas

  • CSCE 5580 - Computer Networks, 3 courses.
  • CSCE 6940 - Individual Research, 2 courses.

Research

Published Intellectual Contributions

    Conference Proceeding

  • Wang, T., Hou, T. (2023). Adaptive Feature Engineering via Attention- Based LSTM Towards High Performance Reconnaissance Attack Detection. Boston, MA, IEEE Military Communications Conference (IEEE MILCOM’23).
  • Wang, T., Hou, T. (2023). Exquisite Feature Selection for Machine Learning Powered Probing Attack Detection. Rome, Italy, IEEE International Conference on Communications (IEEE ICC’23).
  • Wang, T., Hou, T. (2023). SecDINT: Preventing Data-oriented Attacks via Intel SGX Escorted Data Integrity. Orlando, FL, IEEE Conference on Communications and Network Security (IEEE CNS’23).
  • Wang, T., Hou, T. (2022). DyWCP: Dynamic and Lightweight Data-Channel Coupling towards Confidentiality in IoT Security. San Antonio, Texas, ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec’22).
  • Wang, T., Hou, T. (2022). MUSTER: Subverting User Selection in MU-MIMO Networks. Virtual, IEEE International Conference on Computer Communications (IEEE INFOCOM’22).
  • Wang, T., Hou, T. (2022). Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication. San Antonio, Texas, ACM Workshop on Wireless Security and Machine Learning (ACM WiseML’22).
  • Wang, T., Hou, T. (2022). When Third-Party JavaScript Meets Cache: Explosively Amplifying Security Risks on The Internet. Austin, Texas, IEEE Conference on Communications and Network Security (IEEE CNS’22).
  • Wang, T., Hou, T. (2021). IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. Virtual Conference, IEEE International Symposium on Dynamic Spectrum Access Networks (IEEE DySPAN’21).

    • Journal Article

  • Wang, T. (2022). Proactive Anti-Eavesdropping With Trap Deployment in Wireless Networks. IEEE Transactions on Dependable and Secure Computing.
  • Wang, T., Hou, T. (2021). Combating Adversarial Network Topology Inference by Proactive Topology Obfuscation. IEEE/ACM Transactions on Networking (ToN).

Contracts, Grants, Sponsored Research

    Grant - Research

  • Hou, T. (Principal), Wang, T. (Co-Principal), "Towards the Research and Education for Trustworthy and Resilient Artificial Intelligence of Things," sponsored by DoD Army Research Office (ARO), Federal, $222569 Funded. (2024).
  • Wang, T. (Co-Principal), "Testing & Evaluation for Soldier-Device Teaming Compatibility, Vulner- ability, and Durability in Emergent Situations," sponsored by Department of Defense, Federal, $750000 Funded. (2022 - 2027).
  • Wang, T. (Co-Principal), "Building a Federated Learning Framework for Trustworthy and Resilient Energy Internet of Things (eIoT) Infrastructure," sponsored by Department of Energy, Federal, $750000 Funded. (2023 - 2025).
  • Wang, T. (Principal), "Dynamic Wireless Channel Pad: A Lightweight and Effective Security Design Towards Non-cryptographic IoT Confidentiality," sponsored by National Science Foundation, Federal, $200000 Funded. (2022 - 2024).
  • Wang, T. (Principal), "AFMR: Secure Resource Allocation for the Next Generation Network," sponsored by Microsoft, National, $20000 Funded. (2024 - 2024).
  • Wang, T. (Principal), "WeCARE: Wireless Networking Infrastructure for Imperative Cybersecurity Research and Education," sponsored by Department of Defense (DoD), Federal, $124876 Funded. (2023 - 2023).