Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review

This is a protocol for SLR entitled:"Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review" The objective is to systematically map and synthesize the current state of the research on zero-day attack detection.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17811800
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review

Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review

article en

Abstract

This is a protocol for SLR entitled:"Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review" The objective is to systematically map and synthesize the current state of the research on zero-day attack detection.

Zenodo (CERN European Organization for Nuclear Research)
University of Education (PK)
Openalex Percentile: Top 39%
Network Security and Intrusion Detection
DOIOpen Access PDFOpenAlex
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Deep Learning and Generative AI for Zero-Day Attack Detection and Interpretation in Cyber-security-Based Enterprise Systems: A Systematic Literature Review · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS