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
  • [41] Machine learning based hybrid behavior models for Android malware analysis
    Chuang, Hsin-Yu
    Wang, Sheng-De
    2015 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE SECURITY AND RELIABILITY (QRS 2015), 2015, : 201 - 206
  • [42] ANALYSIS OF FEATURES SELECTION AND MACHINE LEARNING CLASSIFIER IN ANDROID MALWARE DETECTION
    Mas'ud, Mohd Zaki
    Sahib, Shahrin
    Abdollah, Mohd Faizal
    Selamat, Siti Rahayu
    Yusof, Robiah
    2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA), 2014,
  • [43] Formal Methods for Android Banking Malware Analysis and Detection
    Iadarola, Giacomo
    Martinelli, Fabio
    Mercaldo, Francesco
    Santone, Antonella
    2019 SIXTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS: SYSTEMS, MANAGEMENT AND SECURITY (IOTSMS), 2019, : 331 - 336
  • [44] Machine-Learning based analysis and classification of Android malware signatures
    Martin, Ignacio
    Alberto Hernandez, Jose
    de los Santos, Sergio
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 97 : 295 - 305
  • [45] Analysis of Android Malware Detection Performance using Machine Learning Classifiers
    Ham, Hyo-Sik
    Choi, Mi-Jung
    2013 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2013): FUTURE CREATIVE CONVERGENCE TECHNOLOGIES FOR NEW ICT ECOSYSTEMS, 2013, : 492 - 497
  • [46] A comparative study of Sentiment Analysis Machine Learning Approaches
    Maada, Loukmane
    Al Fararni, Khalid
    Aghoutane, Badraddine
    Fattah, Mohammed
    Farhaoui, Yousef
    2022 2ND INTERNATIONAL CONFERENCE ON INNOVATIVE RESEARCH IN APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (IRASET'2022), 2022, : 526 - 530
  • [47] A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
    Ibrahim, Mulhem
    Issa, Bayan
    Jasser, Muhammed Basheer
    IEEE ACCESS, 2022, 10 : 117334 - 117352
  • [48] Evaluating Machine Learning Models for Android Malware Detection - A Comparison Study
    Rana, Md. Shohel
    Gudla, Charan
    Sung, Andrew H.
    PROCEEDINGS OF 2018 VII INTERNATIONAL CONFERENCE ON NETWORK, COMMUNICATION AND COMPUTING (ICNCC 2018), 2018, : 17 - 21
  • [49] Integrating Static and Dynamic Malware Analysis Using Machine Learning
    Mangialardo, R. J.
    Duarte, J. C.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (09) : 3080 - 3087
  • [50] Performance Analysis of Machine Learning Classifiers for Detecting PE Malware
    Azmee, A. B. M. Adnan
    Choudhury, Pranto Protim
    Alam, Md Aosaful
    Dutta, Orko
    Hossain, Muhammad Iqbal
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (01) : 510 - 517