On Static Android Malware Detection and Analysis: A Systematic Review
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2550-2_61
Reference24 articles.
1. Liu K, Xu S, Xu G, Zhang M, Sun D, Liu H (2020) A review of android malware detection approaches based on machine learning. IEEE Access 8:124579–124607. https://doi.org/10.1109/ACCESS.2020.3006143
2. Ibrahim M, Issa B, Jasser MB (2022) A method for automatic android malware detection based on static analysis and deep learning. IEEE Access 10:117334–117352. https://doi.org/10.1109/ACCESS.2022.3219047
3. Sharma N, Arora B (2021) Data mining and machine learning techniques for malware detection. Adv Intell Syst Comput 1187:557–567. https://doi.org/10.1007/978-981-15-6014-9_66
4. “Global mobile traffic 2023 | Statista.” (2024). https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/
5. Operating System Market Share Worldwide | Statcounter Global Stats. https://gs.statcounter.com/os-market-share. Accessed on Feb 26 2024
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