Malicious Device Identification
Malicious Device Identification is a forensic analysis technique in Internet of Things security that specifically detects and classifies unauthorized or compromised devices within an IoT ecosystem by analyzing behavioral anomalies, network traffic patterns, and device fingerprinting to distinguish malicious entities from legitimate ones.
81
Publications
5.5K
Citations
321
Authors
154
Institutions
Publications per year
2017–2026
78
Parents
81
A Survey of Internet of Things (IoT) Authentication Schemes
Mohammed El‐Hajj, Ahmad Fadlallah, Maroun Chamoun et al. · Sensors · 2019 · 426 citations · Full text
1–5 of 81
321
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The University of Texas at San Antonio, United States
3 publications · 182 citations
3
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3
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3
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3
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1–5 of 321
154
Florida Atlantic University
Boca Raton, United States
4 h-index
12 publications
481 citations
Guru Nanak Dev University
Amritsar, India
3 h-index
7 publications
823 citations
The University of Texas at San Antonio
San Antonio, United States
3 h-index
6 publications
230 citations
Technical University of Denmark
Kongens Lyngby, Denmark
2 h-index
2 publications
134 citations
University of South Florida
Tampa, United States
2 h-index
3 publications
111 citations
Texas A&M University – San Antonio
San Antonio, United States
2 h-index
3 publications
244 citations
Cardiff University
Cardiff, United Kingdom
2 h-index
8 publications
3.3K citations
University of South Carolina
Columbia, United States
2 h-index
2 publications
64 citations
1–8 of 154
7 publications · 487 citations
7
h-index
6 publications · 783 citations
6
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3 publications · 53 citations
3
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Repository · 2 publications · 208 citations
2
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2 publications · 113 citations
2
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