A malware behavior detection system of android applications based on multi-class features

被引：0
|
作者：
机构：
[1] Yang, Huan
[2] 1,Zhang, Yu-Qing
[3] Hu, Yu-Pu
[4] Liu, Qi-Xu
来源：
Yang, H. (yangh@nipc.org.cn) | 1600年 / Science Press卷 / 37期
关键词：
20;
D O I：
10.3724/SP.J.1016.2014.00015
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] On Behavior-based Detection of Malware on Android Platform
    Yu, Wei
    Zhang, Hanlin
    Ge, Linqiang
    Hardy, Rommie
    2013 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2013, : 814 - 819
  • [22] Leveraging Oversampling Techniques in Machine Learning Models for Multi-class Malware Detection in Smart Home Applications
    Chowdhury, Abdullahi
    Islam, Mohammad Manzurul
    Kaisar, Shahriar
    Khoda, Mahbub E.
    Naha, Ranesh
    Khoshkholghi, Mohammad Ali
    Aiash, Mahdi
    2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023, 2024, : 2216 - 2221
  • [23] Android malware obfuscation variants detection method based on multi-granularity opcode features
    Tang, Junwei
    Li, Ruixuan
    Jiang, Yu
    Gu, Xiwu
    Li, Yuhua
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 129 : 141 - 151
  • [24] Android malware obfuscation variants detection method based on multi-granularity opcode features
    Tang, Junwei
    Li, Ruixuan
    Jiang, Yu
    Gu, Xiwu
    Li, Yuhua
    Future Generation Computer Systems, 2022, 129 : 141 - 151
  • [25] A Multi-Class Intrusion Detection System Based on Continual Learning
    Oikonomou, Chrysoula
    Iliopoulos, Ilias
    Ioannidis, Dimosthenis
    Tzovaras, Dimitrios
    2023 IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND RESILIENCE, CSR, 2023, : 86 - 91
  • [26] Detection and Visualization of Android Malware Behavior
    Somarriba, Oscar
    Zurutuza, Urko
    Uribeetxeberria, Roberto
    Delosieres, Laurent
    Nadjm-Tehrani, Simin
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016
  • [27] An Android Malware Detection System Based on Cloud Computing
    Cui, Shujuan
    Sun, Gengxin
    Bin, Sheng
    Zhou, Xicheng
    3RD INTERNATIONAL CONFERENCE ON APPLIED ENGINEERING, 2016, 51 : 691 - 696
  • [28] Evaluation of Android Malware Detection Based on System Calls
    Dimjasevic, Marko
    Atzeni, Simone
    Rakamaric, Zvonimir
    Ugrina, Ivo
    IWSPA'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL WORKSHOP ON SECURITY AND PRIVACY ANALYTICS, 2016, : 1 - 8
  • [29] MUTIPLE CLASSIFIER SYSTEM BASED ANDROID MALWARE DETECTION
    Liu, Wen
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 57 - 62
  • [30] An Android Malware Detection System Based on Feature Fusion
    LI Jian
    WANG Zheng
    WANG Tao
    TANG Jinghao
    YANG Yuguang
    ZHOU Yihua
    ChineseJournalofElectronics, 2018, 27 (06) : 1206 - 1213
12345