- Active learning-based mobile malware detection utilizing auto-labeling and data drift detectionDeng, Zhe; Hubert, Arthur; Ben Yahia, Sadok; Bahsi, HayretdinProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 20242024 / p. 146 - 151 https://doi.org/10.1109/CSR61664.2024.10679343 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 https://www.webofscience.com/wos/woscc/full-record/WOS:001327167900023
- Alliance attribution of global cyber attacks : the European UnionAlatalu, SiimNational cyber emergencies: the return to civil defence2020 / p. 171-185 https://doi.org/10.4324/9780429343438
- Android malware concept drift using system calls : detection, characterization and challengesGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinExpert systems with applications2022 / art. 117200, 19 p. : ill https://doi.org/10.1016/j.eswa.2022.117200 https://www.scopus.com/sourceid/24201 https://www.scopus.com/record/display.uri?eid=2-s2.0-85133644580&origin=inward&txGid=184e98a80ff85f3a127453d215dd745b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=EXPERT%20SYST%20APPL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000835136700007
- Art and automation of teaching malware reverse engineeringLepik, Toomas; Maennel, Kaie; Ernits, Margus; Maennel, Olaf ManuelLearning and Collaboration Technologies : Learning and Teaching : 5th International Conference : LCT 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018 : Proceedings, Part II2018 / p. 461-472 https://doi.org/10.1007/978-3-319-91152-6_35 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85050480031&origin=inward&txGid=180a4e0d3d2e2565eae1bfe93814447d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000554414000035
- Arvuti riistvarasse peidetud troojalane pakub häkkeritele hõlbuelu [Võrguväljaanne]Oidermaa, Jaan-Juhannovaator.err.ee2022 https://novaator.err.ee/1608477221/arvuti-riistvarasse-peidetud-troojalane-pakub-hakkeritele-holbuelu
- Assessment of malicious tweets impact on stock market pricesIshikawa, Tatsuki; Ben Sassi, Imen; Ben Yahia, SadokResearch Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings2021 / p. 330–346 https://doi.org/10.1007/978-3-030-75018-3_22 https://www.scopus.com/sourceid/17500155101 https://www.scopus.com/record/display.uri?eid=2-s2.0-85111103911&origin=inward&txGid=f37266eab3ff03ac2cef04be786d44c0 https://www.webofscience.com/wos/woscc/full-record/WOS:000886549300022
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- Time-frame analysis of system calls behavior in machine learning-based mobile malware detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 20192019 / art. 89049088 ; 8 p. : ill https://doi.org/10.1109/CSET.2019.8904908