Conference Paper 2026

GXMalDetect: A Hybrid GA--XGBoost Architecture for Malware Detection Using Static Image Features

Abdul Kareem Uddin Mohd, Md Habibur Rahman, Md Wahidur Rahman, Avdesh Mishra, Tarek Mahmud, Maleq Khan

2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), pp. 1–6

Type
Conference Paper
Year
2026
Venue
2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
Pages
1–6
Publisher
IEEE

Overview

Conference Paper published in 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC) (2026) · 6 authors

Research areas

Matched from the title, keywords and assigned research area.

Abstract

Abstract is not stored locally. View the publisher record for the official abstract.

Authors

  1. Abdul Kareem Uddin Mohd
  2. Md Habibur Rahman
  3. Md Wahidur Rahman Portfolio Author
  4. Avdesh Mishra
  5. Tarek Mahmud
  6. Maleq Khan

Keywords

No keywords are stored for this record.

Citation

IEEE

A. K. U. Mohd, M. H. Rahman, M. W. Rahman, A. Mishra, T. Mahmud, and M. Khan, "GXMalDetect: A Hybrid GA--XGBoost Architecture for Malware Detection Using Static Image Features," in 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), 2026, pp. 1–6.

BibTeX

@inproceedings{mohd2026gxmaldetect,
  title={GXMalDetect: A Hybrid GA--XGBoost Architecture for Malware Detection Using Static Image Features},
  author={Mohd, Abdul Kareem Uddin and Rahman, Md Habibur and Rahman, Md Wahidur and Mishra, Avdesh and Mahmud, Tarek and Khan, Maleq},
  booktitle={2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)},
  pages={1--6},
  year={2026},
  organization={IEEE}
}