Tao Hou

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Hou, T., Wang, T., Shen, D., Lu, Z., Liu, Y. (2020). Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis. Adaptive Autonomous Secure Cyber Systems. 109--129. Springer.

Conference Proceeding

• Alanazi, H., Bi, S., Wang, T., Hou, T. (2023). Adaptive Feature Engineering via Attention-Based LSTM Towards High Performance Reconnaissance Attack Detection. IEEE Military Communications Conference (IEEE MILCOM'23).
• Alanazi, H., Bi, S., Wang, T., Hou, T. (2023). Exquisite Feature Selection for Machine Learning Powered Probing Attack Detection. IEEE International Conference on Communications (IEEE ICC'23).
• Shen, D., Hou, T., Lu, Z., Liu, Y., Wang, T. (2023). SecDINT: Preventing Data-oriented Attacks via Intel SGX Escorted Data Integrity. IEEE Conference on Communications and Network Security (IEEE CNS'23).
• Chen, S., McCracken, J., Lu, K., Wang, T., Hou, T. (2023). Taking a Look into the Cookie Jar: A Comprehensive Study towards the Security of Web Cookies. National Workshop for REU Research in Networking and Systems (REUNS'23).
• Bi, S., Hou, T., Wang, T., Liu, Y., Lu, Z., Pei, Q. (2022). DyWCP: Dynamic and Lightweight Data-Channel Coupling towards Confidentiality in IoT Security. ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec'22).
• Hou, T., Bi, S., Wang, T., Lu, Z., Liu, Y., Misra, S., Sagduyu, Y. (2022). MUSTER: Subverting User Selection in MU-MIMO Networks. IEEE Conference on Computer Communications (IEEE INFOCOM'22).
• Hou, T., Wang, T., Lu, Z., Liu, Y., Sagduyu, Y. (2022). Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication. Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning. 63--68.
• Hou, T., Bi, S., Mingkui, W., Wang, T., Lu, Z., Liu, Y. (2022). When Third-Party JavaScript Meets Cache: Explosively Amplifying Security Risks on the Internet. IEEE Conference on Communications and Network Security (IEEE CNS'22).
• Hou, T., Wang, T., Lu, Z., Liu, Y., Sagduyu, Y. (2021). IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. IEEE International Symposium on Dynamic Spectrum Access Networks (IEEE DySPAN'21).
• Luo, Z., Hou, T., Nguyen, T.T., Zeng, H., Lu, Z. (2020). Log Analytics in HPC: A Data-driven Reinforcement Learning Framework. IEEE Conference on Computer Communications (INFOCOM) DDINS Workshop.
• Hou, T., Qu, Z., Wang, T., Lu, Z., Liu, Y. (2020). ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference. IEEE Conference on Computer Communications (IEEE INFOCOM'20).
• Hou, T., Wang, T., Lu, Z., Liu, Y. (2019). I Know Your Activities Even When Data Is Encrypted: Smart Traffic Analysis via Fusion Deep Neural Network. Annual Computer Security Applications Conference (ACSAC), Poster Session.
• Hou, T., Wang, T., Lu, Z., Liu, Y. (2019). Smart spying via deep learning: inferring your activities from encrypted wireless traffic. IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP'19).
• Wang, T., Liu, Y., Pei, Q., Hou, T. (2015). Location-restricted services access control leveraging pinpoint waveforming. Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security. 292--303.

Journal Article

• Qiao, Y., Sathyanarayana, N.B., Shi, C., He, Z., Wang, T., Hou, T. (2025). A Survey on Adversarial Machine Learning: Attacks, Defenses, Real-World Applications, and Future Research Directions. Other. Elsevier.
• He, Z., Davila, D., Bi, S., Wang, T., Hou, T. (2025). Machine Learning for Cybersecurity: A Survey of Applications, Adversarial Challenges, and Future Research Directions. Other.
• Das, R., Zhou, L., Bi, S., Wang, T., Hou, T. (2025). Towards the Safety of Intelligent Transportation: A Survey on the Security Challenges and Mitigations in Internet of Vehicles (IoV). Other. ACM New York, NY.
• Zibaeirad, A., Koleini, F., Bi, S., Hou, T., Wang, T. (2024). A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities. Other.
• Salas-Nino, M., Ritter, G., Hamdan, D., Wang, T., Hou, T. (2024). The Evolution of Keylogger Technologies: A Survey from Historical Origins to Emerging Opportunities. Other.
• Alvarado, M., Gayler, L., Seals, A., Wang, T., Hou, T. (2024). A Survey on Post-Quantum Cryptography: State-of-the-Art and Challenges. Other.
• Hou, T., Wang, T. (2023). Dynamic and Lightweight Encryption towards Data Confidentiality in Medical loT Devices (MloT).
• Luo, Z., Hou, T., Zhou, X., Zeng, H., Lu, Z. (2021). Binary Code Similarity Detection through LSTM and Siamese Neural Network. Other.
• Hou, T., Wang, T., Lu, Z., Liu, Y. (2021). Combating Adversarial Network Topology Inference by Proactive Topology Obfuscation. Other.
• Wang, T., Liu, Y., Hou, T., Pei, Q., Fang, S. (2016). Signal entanglement based pinpoint waveforming for location-restricted service access control. IEEE Transactions on Dependable and Secure Computing. 15 (5) 853--867. IEEE.

Ph.D. Thesis

• Hou, T. (2022). Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies. University of South Florida.

Contracts, Grants and 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).