Human-machine Threat Analysis
Human-Machine Threat Analysis is a collaborative analytical framework that integrates human expertise with machine intelligence to jointly identify, interpret, and evaluate cybersecurity threats by combining cognitive reasoning and automated data processing in threat intelligence workflows.
48
Publications
2.8K
Citations
161
Authors
64
Institutions
Publications per year
2017–2026
39
48
1–5 of 48
161
The University of Texas at San Antonio, United States
2 publications · 343 citations
2
h-index
2
h-index
Chittagong University of Engineering & Technology, Bangladesh
2 publications · 575 citations
2
h-index
1
h-index
1
h-index
1–5 of 161
64
The University of Texas at San Antonio
San Antonio, United States
3 h-index
2 publications
343 citations
Swinburne University of Technology
Melbourne, Australia
2 h-index
2 publications
575 citations
Chittagong University of Engineering & Technology
Chittagong, Bangladesh
2 h-index
2 publications
575 citations
COMSATS University Islamabad
Islamabad, Pakistan
2 h-index
2 publications
164 citations

Cleveland State University
Cleveland, United States
1 h-index
1 publications
13 citations

University of London
London, United Kingdom
1 h-index
1 publications
55 citations
Ghazi University
Dera Ghazi Khan, Pakistan
1 h-index
2 publications
152 citations

Lanzhou University of Technology
Lanzhou, China
1 h-index
3 publications
270 citations
1–8 of 64
Repository · 2 publications · 102 citations
2
h-index
1 publications · 114 citations
1
h-index
TOIT · 1 publications · 49 citations
1
h-index
JNCA · 1 publications · 88 citations
1
h-index
1 publications · 288 citations
1
h-index
1–5