Comparative Study of Static Analysis and Machine Learning Approaches for Detecting Android Banking Malware

被引:0
|
作者
Ahmed, Alaa M. [1 ]
Saeed, Mogeeb A. [2 ]
Hamood, Amr A. [1 ]
Alazab, Abduljabar A. [1 ]
Ahmed, Kamel A. [1 ]
机构
[1] Computer Networks & Distributed Systems Al-saeed, It Taiz University, Faculty of Engineering, Taiz, Yemen
[2] Taiz University, Al-saeed Faculty of Engineering & It, Computer Networks & Distributed Systems Department, Taiz, Yemen
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023
中图分类号
学科分类号
摘要
Android (operating system) - Application programming interfaces (API) - Commerce - Competition - Feature Selection - Mobile security - Static analysis
引用
收藏
相关论文
共 50 条
  • [1] Analyzing Various Machine Learning Approaches for Detecting Android Malware
    Dickey, Kyler
    Hwang, Doosung
    Kim, Donghoon
    SOUTHEASTCON 2024, 2024, : 1288 - 1293
  • [2] Detecting Android Malware Based on Extreme Learning Machine
    Sun, Yuxia
    Xie, Yunlong
    Qiu, Zhi
    Pan, Yuchang
    Weng, Jian
    Guo, Song
    2017 IEEE 15TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 15TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 3RD INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS(DASC/PICOM/DATACOM/CYBERSCI, 2017, : 47 - 53
  • [3] Machine Learning Classifiers for Android Malware Analysis
    Urcuqui Lopez, Christian Camilo
    Navarro Cadavid, Andres
    2016 IEEE COLOMBIAN CONFERENCE ON COMMUNICATIONS AND COMPUTING (COLCOM), 2016,
  • [4] A Review of Android Malware Detection Approaches Based on Machine Learning
    Liu, Kaijun
    Xu, Shengwei
    Xu, Guoai
    Zhang, Miao
    Sun, Dawei
    Liu, Haifeng
    IEEE ACCESS, 2020, 8 (08): : 124579 - 124607
  • [5] On machine learning effectiveness for malware detection in Android OS using static analysis data
    Syrris, Vasileios
    Geneiatakis, Dimitris
    Journal of Information Security and Applications, 2021, 59
  • [6] On machine learning effectiveness for malware detection in Android OS using static analysis data
    Syrris, Vasileios
    Geneiatakis, Dimitris
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2021, 59
  • [7] A Machine Learning Approach for Detecting and Categorizing Sensitive Methods in Android Malware
    Hasan, Hayyan Salman
    Deeb, Hasan Muhammad
    Ladani, Behrouz Tork
    ISECURE-ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2023, 15 (01): : 59 - 71
  • [8] A review of detecting malware in android devices based on machine learning techniques
    Sharma, Monika
    Kaul, Ajay
    EXPERT SYSTEMS, 2024, 41 (01)
  • [9] A Survey of Android Malware Static Detection Technology Based on Machine Learning
    Wu, Qing
    Zhu, Xueling
    Liu, Bo
    MOBILE INFORMATION SYSTEMS, 2021, 2021
  • [10] Efficient and Effective Static Android Malware Detection Using Machine Learning
    Bansal, Vidhi
    Ghosh, Mohona
    Baliyan, Niyati
    INFORMATION SYSTEMS SECURITY, ICISS 2022, 2022, 13784 : 103 - 118