An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features-Reference-Cited by-同舟云学术

An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features

Published:2016-11-16 Issue:12 Volume:28 Page:4147-4157
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Altaher Altyeb

Funder

King Abdulaziz University of Saudi Arabia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2708-7/fulltext.html

Reference51 articles.

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2. Gartner. Inc. (2014) Android to surpass one billion users across all devices in 2014. Retrieved June, 17, 2016, from http://www.gartner.com/newsroom/id/2645115

3. Google (2015) Official android market; Google Play. Retrieved Feb 17, 2016, from https://market.android.com

4. Oberheide J, Miller C (2012) Dissecting the Android bouncer. Presented at SummerCon2012, New York

5. Kaspersky Lab (2015) IT threat evolution report for Q1 of 2015. Retrieved June 17, 2016, from http://usa.kaspersky.com/about-us/press-center/in-the-news/mobile-threats-rise-q1-2015-report-shows-sc-magazine

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