Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes

L. Sayfullina; E. Eirola; D. Komashinsky; P. Palumbo; Y. Miche; A. Lendasse; J. Karhunen

doi:10.1109/Trustcom-2015.375

Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes

L. Sayfullina, E. Eirola, D. Komashinsky, P. Palumbo, Y. Miche, A. Lendasse, J. Karhunen

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

17 Citations (Scopus)

Original language	English
Title of host publication	14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015
Publisher	IEEE
Pages	198-205
ISBN (Print)	978-1-4673-7952-6
DOIs	https://doi.org/10.1109/Trustcom-2015.375
Publication status	Published - 2015
MoE publication type	A4 Article in a conference publication

Publication series

Name
Publisher	IEEE
ISSN (Print)	2324-9013

Access to Document

10.1109/Trustcom-2015.375

Machine Learning Methods for Classification of Unstructured Data
Eric Malmi
04/09/2019
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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 14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015 (pp. 198-205). IEEE. https://doi.org/10.1109/Trustcom-2015.375

@inproceedings{136954006d784c0294649af7239da649,

title = "Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes",

author = "L. Sayfullina and E. Eirola and D. Komashinsky and P. Palumbo and Y. Miche and A. Lendasse and J. Karhunen",

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year = "2015",

doi = "10.1109/Trustcom-2015.375",

language = "English",

isbn = "978-1-4673-7952-6",

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pages = "198--205",

booktitle = "14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015",

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}

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 14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015. IEEE, pp. 198-205. https://doi.org/10.1109/Trustcom-2015.375

Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes. / Sayfullina, L.; Eirola, E.; Komashinsky, D.; Palumbo, P.; Miche, Y.; Lendasse, A.; Karhunen, J.

14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015. IEEE, 2015. p. 198-205.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes

AU - Sayfullina, L.

AU - Eirola, E.

AU - Komashinsky, D.

AU - Palumbo, P.

AU - Miche, Y.

AU - Lendasse, A.

AU - Karhunen, J.

N1 - VK: Karhunen, J.; CLOSE

PY - 2015

Y1 - 2015

U2 - 10.1109/Trustcom-2015.375

DO - 10.1109/Trustcom-2015.375

M3 - Conference contribution

SN - 978-1-4673-7952-6

SP - 198

EP - 205

BT - 14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015

PB - IEEE

ER -

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 14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015. IEEE. 2015. p. 198-205 https://doi.org/10.1109/Trustcom-2015.375

Efficient Detection of Zero-Day Android Malware Using Normalized Bernoulli Naive Bayes

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Machine Learning Methods for Classification of Unstructured Data

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