Zero-day Malware Classification
Zero-Day Malware Classification is an academic research area within cybersecurity that focuses on the development and evaluation of methods, models, or frameworks designed to detect and categorize previously unknown malware samples that exploit vulnerabilities for which no prior signatures or patches exist.
17
Publications
1.1K
Citations
52
Authors
26
Institutions
Publications per year
2017–2026
11
Parents
17
1–5 of 17
52
National University of Computer and Emerging Sciences, Pakistan
2 publications · 182 citations
2
h-index
1
h-index
Ulsan National Institute of Science and Technology, South Korea
1 publications · 39 citations
1
h-index
1
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 40 citations
1
h-index
1–5 of 52
26
National University of Computer and Emerging Sciences
Islamabad, Pakistan
2 h-index
6 publications
546 citations

University of Plymouth
Plymouth, United Kingdom
1 h-index
1 publications
100 citations

University of Colorado Colorado Springs
Colorado Springs, United States
1 h-index
1 publications
39 citations

Federation University
Ballarat, Australia
1 h-index
3 publications
564 citations

California State University, Long Beach
Long Beach, United States
1 h-index
3 publications
120 citations
Taif University
Ta'if, Saudi Arabia
1 h-index
1 publications
13 citations
California State Polytechnic University
Pomona, United States
1 h-index
1 publications
40 citations
Punjab Engineering College
Chandigarh, India
1 h-index
2 publications
88 citations
1–8 of 26
Repository · 1 publications · 188 citations
1
h-index
1 publications · 261 citations
1
h-index
TNSM · 1 publications · 39 citations
1
h-index
1 publications · 37 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5