PIndroid: A novel Android malware detection system using ensemble learning methods

Fauzia Idrees; Muttukrishnan Rajarajan; Mauro Conti; Thomas M. Chen; Yogachandran Rahulamathavan

doi:10.1016/j.cose.2017.03.011

PIndroid: A novel Android malware detection system using ensemble learning methods

Fauzia Idrees
, Muttukrishnan Rajarajan
, Mauro Conti
, Thomas M. Chen
, Yogachandran Rahulamathavan

Department of Information Security

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	36-46
Number of pages	11
Journal	Computers and Security
Volume	68
DOIs	https://doi.org/10.1016/j.cose.2017.03.011
Publication status	Published - Jul 2017

Keywords

Colluding applications
Ensemble methods
Intents
Malware classification
Permissions

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10.1016/j.cose.2017.03.011

Cite this

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title = "PIndroid: A novel Android malware detection system using ensemble learning methods",

keywords = "Colluding applications, Ensemble methods, Intents, Malware classification, Permissions",

author = "Fauzia Idrees and Muttukrishnan Rajarajan and Mauro Conti and Chen, \{Thomas M.\} and Yogachandran Rahulamathavan",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd",

year = "2017",

month = jul,

doi = "10.1016/j.cose.2017.03.011",

language = "English",

volume = "68",

pages = "36--46",

journal = "Computers and Security",

issn = "0167-4048",

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T1 - PIndroid

T2 - A novel Android malware detection system using ensemble learning methods

AU - Idrees, Fauzia

AU - Rajarajan, Muttukrishnan

AU - Conti, Mauro

AU - Chen, Thomas M.

AU - Rahulamathavan, Yogachandran

PY - 2017/7

Y1 - 2017/7

KW - Colluding applications

KW - Ensemble methods

KW - Intents

KW - Malware classification

KW - Permissions

UR - https://www.scopus.com/pages/publications/85017276184

U2 - 10.1016/j.cose.2017.03.011

DO - 10.1016/j.cose.2017.03.011

M3 - Article

AN - SCOPUS:85017276184

SN - 0167-4048

VL - 68

SP - 36

EP - 46

JO - Computers and Security

JF - Computers and Security

ER -

PIndroid: A novel Android malware detection system using ensemble learning methods

Keywords

Access to Document

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