Ran Liu
Ran Liu
Home
News
Experience
Projects
Publications
Contact
Light
Dark
Automatic
Publications
Type
Uncategorized
Conference paper
Date
2023
2022
2021
2017
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.
.
Cite
×