Zero-day Attack Prevention
Zero-Day Attack Prevention is an intrusion prevention method that specifically addresses previously unknown vulnerabilities by proactively detecting and mitigating exploitation attempts before any signature or patch exists.
27
Publications
830
Citations
81
Authors
33
Institutions
Publications per year
2017–2026
16
Parents
27
Zero-day attack detection: a systematic literature review
Rasheed Ahmad, Izzat Alsmadi, Wasim A. Al-Hamdani et al. · Artificial Intelligence Review · 2023 · 166 citations
Comparative Evaluation of AI-Based Techniques for Zero-Day Attacks Detection
Shamshair Ali, Saif Ur Rehman, Azhar Imran et al. · Electronics · 2022 · 100 citations · Full text
A Systematic Literature Review on AI-Based Methods and Challenges in Detecting Zero-Day Attacks
Lip Yee Por, Siew Juan Leem, Yi Chen et al. · IEEE Access · 2024 · 45 citations · Full text
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33
Columbia University
New York, United States
2 h-index
2 publications
43 citations
Jordan University of Science and Technology
Irbid, Jordan
2 h-index
3 publications
236 citations
Naif Arab University for Security Sciences
Riyadh, Saudi Arabia
1 h-index
3 publications
48 citations
Al-Balqa Applied University
Salt, Jordan
1 h-index
1 publications
35 citations
University of the Cumberlands
Williamsburg, United States
1 h-index
2 publications
332 citations
Hefei Institute of Technology Innovation
Hefei, China
1 h-index
2 publications
62 citations

Birla Institute of Technology and Science, Pilani
Pilāni, India
1 h-index
2 publications
32 citations
Chungnam National University
Daejeon, South Korea
1 h-index
1 publications
100 citations
1–8 of 33
1 publications · 166 citations
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Conference · 1 publications · 20 citations
1
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1 publications · 19 citations
1
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ComST · 1 publications · 15 citations
1
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1 publications · 70 citations
1
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