A4 Article in conference proceedings
Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection (2017)
Kumar, S., Viinikainen, A., & Hämäläinen, T. (2017). Evaluation of Ensemble Machine Learning Methods in Mobile Threat Detection. In ICITST 2017 : The 12th International Conference for Internet Technology and Secured Transactions (pp. 261-268). Infonomics Society. https://doi.org/10.23919/ICITST.2017.8356396
JYU authors or editors
Publication details
All authors or editors: Kumar, Sanjay; Viinikainen, Ari; Hämäläinen, Timo
Parent publication: ICITST 2017 : The 12th International Conference for Internet Technology and Secured Transactions
ISBN: 978-1-908320-93-3
Publication year: 2017
Pages range: 261-268
Publisher: Infonomics Society
Publication country: United States
Publication language: English
DOI: https://doi.org/10.23919/ICITST.2017.8356396
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/58044
Additional information: ICITST 2017 : The 12th International Conference for Internet Technology and Secured Transactions, December 11-14, 2017, University of Cambridge, UK
Keywords: data security; mobile devices; machine learning
Free keywords: intrusion detection; ensemble methods; supervised machine learning; mobile threats; anomaly detection
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2018
JUFO rating: 1