Efficient detection of zero-day android malware using normalized bernoulli naive bayes

Luiza Sayfullina; Emil Eirola; Dmitry Komashinsky; Paolo Palumbo; Yoan Miche; Amaury Lendasse; Juha Karhunen

doi:10.1109/Trustcom.2015.375

Efficient detection of zero-day android malware using normalized bernoulli naive bayes

Luiza Sayfullina
, Emil Eirola
, Dmitry Komashinsky
, Paolo Palumbo
, Yoan Miche
, Amaury Lendasse
, Juha Karhunen

Aalto University
Arcada University of Applied Sciences
F-Secure Corporation
Nokia-Siemens Networks
University of Iowa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	198-205
Number of pages	8
ISBN (Electronic)	9781467379519
DOIs	https://doi.org/10.1109/Trustcom.2015.375
State	Published - Dec 2 2015
Externally published	Yes
Event	14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015 - Helsinki, Finland Duration: Aug 20 2015 → Aug 22 2015

Publication series

Name	Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Volume	1

Conference

Conference	14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Country/Territory	Finland
City	Helsinki
Period	8/20/15 → 8/22/15

ASJC Scopus Subject Areas

Computer Networks and Communications

Keywords

Malware Classification
Naive Bayes
Security in Android

Access to Document

10.1109/Trustcom.2015.375

Cite this

Sayfullina, L., Eirola, E., Komashinsky, D., Palumbo, P., Miche, Y., Lendasse, A., & Karhunen, J. (2015). Efficient detection of zero-day android malware using normalized bernoulli naive bayes. In Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015 (pp. 198-205). Article 7345283 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Trustcom.2015.375

Efficient detection of zero-day android malware using normalized bernoulli naive bayes. / Sayfullina, Luiza; Eirola, Emil; Komashinsky, Dmitry et al.
Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 198-205 7345283 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sayfullina, L, Eirola, E, Komashinsky, D, Palumbo, P, Miche, Y, Lendasse, A & Karhunen, J 2015, Efficient detection of zero-day android malware using normalized bernoulli naive bayes. in Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015., 7345283, Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 198-205, 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, Helsinki, Finland, 8/20/15. https://doi.org/10.1109/Trustcom.2015.375

Sayfullina L, Eirola E, Komashinsky D, Palumbo P, Miche Y, Lendasse A et al. Efficient detection of zero-day android malware using normalized bernoulli naive bayes. In Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 198-205. 7345283. (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015). doi: 10.1109/Trustcom.2015.375

Sayfullina, Luiza ; Eirola, Emil ; Komashinsky, Dmitry et al. / Efficient detection of zero-day android malware using normalized bernoulli naive bayes. Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 198-205 (Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015).

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Efficient detection of zero-day android malware using normalized bernoulli naive bayes

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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