Media of University of Babylon - كلية الطب

Two Researchers from the College of Information Technology Publish a Global Scientific Study on Android Malware Classification Using Advanced Techniques

Duhaa Fadill Abbas
In a new scientific achievement that adds to the growing academic contributions of the Software Department at the College of Information Technology – University of Babylon, Master s student Abdullah Alawi and Assistant Professor Dr. Ahmed Habeeb Al-Azzawi have co-authored a research paper entitled:
"Classifying Android Malware Categories Based on Dynamic Features: An Integration of Feature Reduction and Selection Techniques."

The study was published in the Kufa Journal of Engineering, a globally recognized journal indexed under the Q4 classification. The paper is accessible through the following DOI link:
https://doi.org/10.30572/2018/KJE/160206

Abstract of the Study:
The research addresses the escalating threat of malicious software within Android applications and underscores the importance of accurately understanding malware behavior to enable effective classification. The authors adopted a dynamic analysis approach, leveraging advanced machine learning techniques to extract distinctive behavioral features and reduce data complexity. This strategy facilitated the development of an intelligent model capable of accurately detecting and categorizing malicious applications with high efficiency.

The study emphasizes the critical role of integrating innovative methodologies in strengthening mobile device security and enhancing digital protection capabilities.

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Media of University of Babylon - كلية الطب
Media of University of Babylon - كلية الطب
Media of University of Babylon - كلية الطب