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Fabio Di Troia
Adversarial Machine Learning
Intrusion Detection Systems
Malware Analysis
Phishing Detection
About
Fabio Di Troia is an Assistant Professor at San José State University. His research interests include Machine Learning and Cybersecurity.
Research Performance Summary
2016-2026
Active Research Span
First Recorded Paper
Support vector machines and malware detection
Year:
2016
Citations:
93
Venue:
Journal of Computer Virology and Hacking Techniques 12 (4)
Latest Recorded Paper
A comparative study of linear and non-linear dimensionality reduction for opcode-frequency malware classification: C. Lu, F. Di Troia
Year:
2026
Citations:
0
Venue:
Journal of Computer Virology and Hacking Techniques 22 (1)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Di Troia
Stamp
Austin
Research Impact by Period
Papers
13
Citations
12
Avg. Citations / Paper
0.9
H-Index
2
Papers
38
Citations
618
Avg. Citations / Paper
16.3
H-Index
13
Papers
28
Citations
1602
Avg. Citations / Paper
57.2
H-Index
16
Contact and Professional Links
Detected Research Keywords
Hidden Markov Models
Image Malware Classification
Support Vector Machines
Analysis Android Malware
Feature Analysis Encrypted
Analysis Encrypted Malicious
Encrypted Malicious Traffic
Generative Adversarial Networks
Acoustic Gait Analysis
Fake Malware Generation