Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2019/02/01
-
Indian UGC (journal)
-
Refrences14
-
Citations4
-
Oktay Yildiz Department of Computer Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey
-
Ibrahim Alper Doğru Department of Computer Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey
Abstract
Cite
Yildiz, Oktay, and Ibrahim Alper Doğru. “Permission-Based Android Malware Detection System Using Feature Selection With Genetic Algorithm”. International Journal of Software Engineering and Knowledge Engineering, vol. 29, no. 02, 2019, pp. 245-62, https://doi.org/10.1142/s0218194019500116.
Yildiz, O., & Doğru, I. A. (2019). Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm. International Journal of Software Engineering and Knowledge Engineering, 29(02), 245-262. https://doi.org/10.1142/s0218194019500116
Yildiz, Oktay, and Ibrahim Alper Doğru. “Permission-Based Android Malware Detection System Using Feature Selection With Genetic Algorithm”. International Journal of Software Engineering and Knowledge Engineering 29, no. 02 (2019): 245-62. https://doi.org/10.1142/s0218194019500116.
Yildiz O, Doğru IA. Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm. International Journal of Software Engineering and Knowledge Engineering. 2019;29(02):245-62.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
You May Also Like
- Lessons from applying the systematic literature review process within the software engineering domain
- A decade of agile methodologies: Towards explaining agile software development
- A novel color image encryption algorithm based on DNA sequence operation and hyper-chaotic system
- Usability measurement and metrics: A consolidated model
- Software process improvement in small and medium software enterprises: a systematic review
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
A new approach to design of control systems using genetic programming | Information Technology and Control |
| 7 | 2015 |
| A new approach to design of control systems using genetic programming | 2017 | |||
| A new approach to design of control systems using genetic programming | 1993 | |||
| A new approach to design of control systems using genetic programming | 2007 | |||
| Genetic Algorithms and Engineering Optimization | 2000 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms | IEEE Access |
| 2022 | |
A Mobile Malware Detection Method Based on Malicious Subgraphs Mining | Security and Communication Networks |
| 2 | 2021 |
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division | March 2024 | 10 | 2021 | |
Android Malware Detection Using Fine-Grained Features | Scientific Programming |
| 14 | 2020 |
Citations Analysis
The category
Science: Science (General): Cybernetics: Information theory 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Android Malware Detection Using Fine-Grained Features and was published in 2020. The most recent citation comes from a 2022 study titled Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms. This article reached its peak citation in 2021, with 2 citations. It has been cited in 4 different journals, 25% of which are open access. Among related journals, the IEEE Access cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.