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Optimal Unification of Static and Dynamic Features for Smartphone Security Analysis

  • Published:2023 Issue:1 Volume:35 Page:1035-1051
  • ISSN:1079-8587
  • Container-title:Intelligent Automation & Soft Computing
  • language:en
  • Short-container-title:

Author:

Kumar Sumit,Indu S.,Singh Walia Gurjit

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference35 articles.

1. https://www.idc.com/promo/smartphone-market-share/os (accessed Feb. 20, 2021).

2. https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store.

3. https://www.statista.com/statistics/680705/global-android-malware-volume (accessed Feb. 20, 2021).

4. https://www.crowdstrike.com/blog/mobile-threat-report-2019-trends-and-recommendations 2020.

5. An efficient multistage fusion approach for smartphone security analysis;Kumar;Defence Science Journal,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characterizing and Classifying Android Malware: A High-Level Feature Approach;2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS);2023-09-15

2. Deep Learning for Android Malware Detection and Classification Using Hybrid-Based Analysis: A Comparative Study;2023 IEEE International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs);2023-08-22

3. Detection of Smartphone Permissioned Security Breaches using Machine Learning Techniques;2023 World Conference on Communication & Computing (WCONF);2023-07-14
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