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