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Investigation of Android Malware Using Deep Learning Approach

  • Published:2023 Issue:2 Volume:35 Page:2413-2429
  • ISSN:1079-8587
  • Container-title:Intelligent Automation & Soft Computing
  • language:en
  • Short-container-title:

Author:

Joseph Raymond V.,Jeberson Retna Raj R.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

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

Reference28 articles.

1. Understanding the evolution of android app vulnerabilities;Gao;IEEE Transactions on Reliability,2021

2. On existence of common malicious system call codes in android malware families;Surendran.;IEEE Transactions on Reliability,2021

3. Reversing and auditing of android malicious applications using sandboxing environment;Raymond;International Journal of Electronic Security and Digital Forensics,2020

4. A machine learning approach to the detection and analysis of android malicious apps;Shibija,2018

5. JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters;Cai;Computers & Security,2021

Cited by 6 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. Enhancing Malware Detection using Deep Learning Approach;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14

2. Sine Cosine Reptile Search Algorithm with Grid Search Support Vector Machine based Ransomware Detection and Classification;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

3. An effective emotion-based smart recommendation system using supervised learning;AIP Conference Proceedings;2024

4. Investigating the Role of Applied Cryptography Algorithms for Malware Detection;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

5. Detection of Malware Using Machine Learning techniques on Random Forest, Decision Tree, KNeighbour, AdaBoost, SGD, ExtraTrees and GaussianNB Classifier;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06
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