Behavior-based Detection
Behavior-Based Detection is a malware analysis method that identifies malicious software by monitoring and analyzing its dynamic execution behavior in a controlled environment, distinguishing it from signature-based or static analysis approaches through its reliance on observed runtime activities.
266
Publications
18.4K
Citations
813
Authors
323
Institutions
Publications per year
2017–2026
87
Parents
266
Intrusion detection via static analysis
David Wagner, Ralph A. Dean · 2002 · 650 citations
Scalable, behavior-based malware clustering
Ulrich Bayer · 2009 · 571 citations
A fast automaton-based method for detecting anomalous program behaviors
R. Sekar, Mr. Rushant Bendre, Dinakar Dhurjati et al. · 2002 · 561 citations
Exploring Multiple Execution Paths for Malware Analysis
Andreas Moser, Christopher Kruegel, Engin Kirda · 2007 · 489 citations
1–5 of 266
813
University of California, Santa Barbara, United States
9 publications · 1.8K citations
9
h-index
6
h-index
5
h-index
5
h-index
4
h-index
1–5 of 813
323
University of California, Santa Barbara
Santa Barbara, United States
9 h-index
16 publications
2.5K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
11 publications
610 citations
Virginia Tech
Blacksburg, United States
5 h-index
15 publications
581 citations

Pennsylvania State University
State College, United States
5 h-index
14 publications
972 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
9 publications
1.2K citations

Beijing University of Posts and Telecommunications
Beijing, China
5 h-index
12 publications
219 citations
Wuhan University
Wuhan, China
4 h-index
11 publications
367 citations
EURECOM
Valbonne, France
4 h-index
6 publications
794 citations
1–8 of 323
8 publications · 448 citations
8
h-index
TDSC · 6 publications · 650 citations
6
h-index
6 publications · 403 citations
6
h-index
FGCS · 6 publications · 219 citations
6
h-index
5 publications · 92 citations
5
h-index
1–5