TY - GEN
T1 - Active Learning-Based Mobile Malware Detection Utilizing Auto-Labeling and Data Drift Detection
AU - Deng, Zhe
AU - Hubert, Arthur
AU - Ben Yahia, Sadok
AU - Bahsi, Hayretdin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Machine learning-based detection methods have demonstrated high performance in mobile malware detection. However, changes in mobile malware over time induce a sig-nificant challenge for malware detection systems running in operational environments. The development of non-stationary models to address concept drift in the threat landscape has garnered significant research interest. Auto-labeling is using automated algorithms to assign labels to data without manual intervention. This study explores the method for introducing auto-labeling in active learning with data drift detection. It achieves satisfying results for the lowest possible cost while succeeding in adapting to changes in the data for a long period.
AB - Machine learning-based detection methods have demonstrated high performance in mobile malware detection. However, changes in mobile malware over time induce a sig-nificant challenge for malware detection systems running in operational environments. The development of non-stationary models to address concept drift in the threat landscape has garnered significant research interest. Auto-labeling is using automated algorithms to assign labels to data without manual intervention. This study explores the method for introducing auto-labeling in active learning with data drift detection. It achieves satisfying results for the lowest possible cost while succeeding in adapting to changes in the data for a long period.
UR - http://www.scopus.com/inward/record.url?scp=85206173340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85206173340&partnerID=8YFLogxK
U2 - 10.1109/CSR61664.2024.10679343
DO - 10.1109/CSR61664.2024.10679343
M3 - Conference contribution
AN - SCOPUS:85206173340
T3 - Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024
SP - 146
EP - 151
BT - Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024
Y2 - 2 September 2024 through 4 September 2024
ER -