Active learning-based mobile malware detection utilizing auto-labeling and data drift detection
author
Deng, Zhe
Hubert, Arthur
Ben Yahia, Sadok
Bahsi, Hayretdin
statement of authorship
Zhe Deng, Arthur Hubert, Sadok Ben Yahia, Hayretdin Bahsi
source
Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024
location of publication
Piscataway, NJ
publisher
IEEE
year of publication
2024
pages
p. 146 - 151
conference name, date
2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024Hybrid, 2-4 September 2024
conference location
London
url
https://doi.org/10.1109/CSR61664.2024.10679343
subject term
pahavara
tehisõpe
andmekaitse
küberturve
Scopus
https://www.scopus.com/record/display.uri?eid=2-s2.0-85206173340&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FCSR61664.2024.10679343%29&sessionSearchId=e1befdb1cf15a568da5cda41fe0f6fd4&relpos=0
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001327167900023
keyword
adversarial machine learning
active learning
detection methods
machine-learning
mobile malware
ISBN
979-835037536-7
notes
Bibliogr.: 17 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise