- Published Journal Papers:

[1] Li, Zhouzhou, He Ren, Ethan Chou, Xiaoming Liu, and Charles D. McAllister. "Retrieving Forensically Sound Evidence from the ESP Series of IoT Devices." IEEE Internet of Things Journal (2022).

[2] Li, Zhouzhou, Ethan Chou, and Charles McAllister. \"An IoT Based New Platform for Teaching Web Application Security.\" ISCAP Cybersecurity Pedagogy & Practice Journal (2022).

[3] Elfrink, S., Garcia, M. A., Zhang, X., Li, Z., Cape Girardeau, M. O., & Han, U. Q. (2023). IoT Security Vulnerabilities Analysis by Reverse Engineering: A Face-recognition IoT Application-based Lab Exercises. CYBERSECURITY PEDAGOGY & PRACTICE JOURNAL.

- Published Conference Proceedings:

[4] Li, Zhouzhou, Waleed Amer, Grey Ruessler, Mario Garcia, and Xiaoming Liu. "A Common but Flexible Method for IoT Device Forensics." In 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1-7. IEEE, 2021.

[5] Li, Zhouzhou, Xiaoming Liu, Mario Alberto Garcia, and Charles D. McAllister. "Construct Forensic Evidence Networks from Information Fragments." In International Conference on Mobile Multimedia Communications, pp. 702-714. Springer, Cham, 2021.

[6] Liu, Xiaoming, Tharinda Embuldeniya, Ziping Liu, Zhouzhou Li, Mario Alberto Garcia, Charles McAllister, and Dana Schwieger. "An Initial Exploration of Multi-Node Open Cloud Infrastructure Testbed." In Proceedings of the Conference on Information Systems Applied Research ISSN, vol. 2167, p. 1508. 2021.

[7] Yuan, J., Elfrink, S., Li, Z., Cheng, K., & Han, Q. (2023). An IoT Based New Platform for Teaching Tiny Machine Learning. In Proceedings of the ISCAP Conference ISSN (Vol. 2473, p. 4901).

PRESENTATION (2021-2022)

· \"Construct Forensic Evidence Networks from Information Fragments.\" In 2021 International Conference on Mobile Multimedia Communications.

· \"A Common but Flexible Method for IoT Device Forensics.\" In 2021 IEEE Global Communications Conference (GLOBECOM).

· \"A Full-stack Platform for Teaching Web Application Security.\" In 2021 EDSIG Conference.

· \"Unearth IoT Security Vulnerabilities by Reverse Engineering: A Face-recognition IoT Application-based Lab Exercises.\" In 2022 EDSIG Conference.