Behavioral Threat Detection
Behavioral Threat Detection is a method within the domain of mobile endpoint protection that identifies malicious activities by analyzing deviations from established patterns of user or system behavior, distinguishing itself from signature-based approaches through its reliance on dynamic behavioral analytics to detect previously unknown or zero-day threats.
55
Publications
2.5K
Citations
202
Authors
98
Institutions
Publications per year
2017–2026
24
55
CloudAV: N-version antivirus in the network cloud
Jon Oberheide, Evan Cooke, Farnam Jahanian · 2008 · 283 citations
UI Dark Patterns and Where to Find Them
Linda Di Geronimo, Larissa Braz, Enrico Fregnan et al. · 2020 · 246 citations · Full text
What the App is That? Deception and Countermeasures in the Android User Interface
Antonio Bianchi, Jacopo Corbetta, Luca Invernizzi et al. · 2015 · 148 citations · Full text
Jason Tipples, Andrew W. Young, Philip T. Quinlan et al. · The Quarterly Journal of Experimental Psychology Section A · 2002 · 135 citations
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98

Peking University
Beijing, China
3 h-index
3 publications
86 citations

Monash University
Melbourne, Australia
3 h-index
4 publications
127 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
8 publications
260 citations

University of Plymouth
Plymouth, United Kingdom
3 h-index
9 publications
455 citations
Pure Storage (United States)
Mountain View, United States
2 h-index
2 publications
92 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
59 citations
University College London
London, United Kingdom
2 h-index
6 publications
96 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
3 publications
366 citations
1–8 of 98
2 publications · 58 citations
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2 publications · 88 citations
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2 publications · 92 citations
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Repository · 2 publications · 22 citations
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1 publications · 20 citations
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