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SMS Observer: A dynamic mechanism to analyze the behavior of SMS-based malware

  • Published:2021-10 Issue: Volume:156 Page:25-37
  • ISSN:0743-7315
  • Container-title:Journal of Parallel and Distributed Computing
  • language:en
  • Short-container-title:Journal of Parallel and Distributed Computing

Author:

Wang Chun-YiORCID,You Chi-Yu,Hsu Fu-Hau,Lee Chia-Hao,Liu Che-Hao,Zhuang YungYuORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference43 articles.

1. SMS mobile botnet detection using a multi-agent system;Alzahrani,2014

2. EMULATOR vs REAL PHONE: Android malware detection using machine learning;Alzaylaee,2017

3. Dynamic analysis with Android container: challenges and opportunities;Chau;Digit. Investig.,2018

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1. RMDNet-Deep Learning Paradigms for Effective Malware Detection and Classification;IEEE Access;2024

2. An investigation in detection and mitigation of smishing using machine learning techniques;Social Network Analysis and Mining;2023-10-17

3. Vulnerability Detection with Representation Learning;Communications in Computer and Information Science;2023

4. Android X-Ray - A system for Malware Detection in Android apps using Dynamic Analysis;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2022-11-07

5. Malware detection method based on image analysis and generative adversarial networks;Concurrency and Computation: Practice and Experience;2022-07-08
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