Application Behavior Monitoring
Application Behavior Monitoring is a dynamic analysis technique that systematically observes and records the runtime execution characteristics of software applications to detect anomalous or malicious activities by distinguishing normal operational patterns from deviations indicative of security vulnerabilities or exploitation attempts.
193
Publications
9.7K
Citations
648
Authors
230
Institutions
Publications per year
2017–2026
40
193
Checking app behavior against app descriptions
Alessandra Gorla, Ilaria Tavecchia, Andreas Zeller · 2014 · 406 citations
Junxian Huang, Feng Qian, Yihua Guo et al. · 2013 · 314 citations
Computing, Electrical Engineering, Information Technology +17
1–5 of 193
648
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1–5 of 648
230
Georgia Institute of Technology
Atlanta, United States
8 h-index
24 publications
1.4K citations
Microsoft (United States)
Redmond, United States
7 h-index
18 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
19 publications
1.9K citations
IBM (United States)
Armonk, United States
6 h-index
16 publications
561 citations
Argonne National Laboratory
Lemont, United States
6 h-index
23 publications
2.3K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
8 publications
407 citations
University of Arizona
Tucson, United States
5 h-index
12 publications
215 citations
University of Michigan
Ann Arbor, United States
5 h-index
17 publications
2.4K citations
1–8 of 230
TSE · 3 publications · 239 citations
3
h-index
TNSM · 3 publications · 87 citations
3
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TOS · 2 publications · 204 citations
2
h-index
2 publications · 33 citations
2
h-index
SEN · 2 publications · 134 citations
2
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1–5