Publications

Ran Liu, Robert Joyce, Cynthia Matuszek, Charles Nicholas (2023). Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. IEEE BigData ‘23: Proceedings of CyberHunt workshop of the IEEE BigData Conference.

Ran Liu, Charles Nicholas (2023). A Feature Set of Small Size for the PDF Malware Detection. KDD ‘23: Proceedings of the KDD Workshop on Knowledge-infused Learning.

DOI

Ran Liu, Matuszek Cynthia, Charles Nicholas (2023). A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng ‘23: Proceedings of the ACM Symposium on Document Engineering 2023.

DOI

Ran Liu, Maksim Eren, Charles Nicholas (2022). Can Feature Engineering Help Quantum Machine Learning for Malware Detection. MTEM 2022.

Ran Liu, Charles Nicholas (2021). Incremental Malware Detection and Classification Using Hidden Markov Models. ICCWS.

Ran Liu, Charles Nicholas (2021). Incremental Malware Classification Using Hidden Markov Models. MTEM 2021.

Shin, Chanyang, Prerit Chandok, Ran Liu, Seth James Nielson and Timothy R. Leschke (2017). Potential Forensic Analysis of IoT Data: An Overview of the State-of-the-Art and Future Possibilities. 2017 IEEE International Conference on Internet of Things (iThings) (2017): 705-710..