Improving Android Malware Detection: Hybrid Models Integrating SGDC with SHO and GNDO Optimisation

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Publication Details

Journal
International Journal of Internet Protocol Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijipt.2025.10072082
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Android Malware Detection: Hybrid Models Integrating SGDC with SHO and GNDO Optimisation

Peng Chen, Yan He
International Journal of Internet Protocol Technology
Advanced Malware Detection Techniques
article

Improving Android Malware Detection: Hybrid Models Integrating SGDC with SHO and GNDO Optimisation

Peng Chen, Yan He
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Internet Protocol TechnologyVol. 18(2)
Openalex Percentile: Top 83%
Advanced Malware Detection Techniques
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Improving Android Malware Detection: Hybrid Models Integrating SGDC with SHO and GNDO Optimisation — Peng Chen, Yan He · International Journal of Internet Protocol Technology (2025) | TGRS Research Map | TGRS