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Paper Abstract and Keywords
Presentation 2018-11-02 10:10
Feature Selection Scheme for Android ICC-related Features Based on the Gap of the Appearance Ratio
Kyohei Osuge, Hiroya Kato, Shuichiro Haruta, Iwao Sasase (Keio Univ.) CS2018-65
Abstract (in Japanese) (See Japanese page) 
(in English) Android malwares are rapidly becoming a potential threat to users. Among several Android malware detection schemes, the scheme using Inter-Component Communication (ICC) is gathering attention. That scheme applies Correlation-based Feature Selection (CFS) to feature before machine learning. However, CFS may remove useful ICC-related features because it removes features having little correlation with mutual features. In this paper, we propose a feature selection scheme for Android ICC-related features based on the gap of the appearance ratio to address the shortcoming. By computer simulation with real dataset, we demonstrate the effectiveness of our scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) Android / malware detection / ICC / feature selection / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 275, CS2018-65, pp. 57-62, Nov. 2018.
Paper # CS2018-65 
Date of Issue 2018-10-25 (CS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF CS2018-65

Conference Information
Committee CS  
Conference Date 2018-11-01 - 2018-11-02 
Place (in Japanese) (See Japanese page) 
Place (in English) The Shiki Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Broadband Access Systems, Home Networks, Network Services, Applications for Communications, etc. 
Paper Information
Registration To CS 
Conference Code 2018-11-CS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feature Selection Scheme for Android ICC-related Features Based on the Gap of the Appearance Ratio 
Sub Title (in English)  
Keyword(1) Android  
Keyword(2) malware detection  
Keyword(3) ICC  
Keyword(4) feature selection  
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1st Author's Name Kyohei Osuge  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Hiroya Kato  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Shuichiro Haruta  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Iwao Sasase  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2018-11-02 10:10:00 
Presentation Time 20 minutes 
Registration for CS 
Paper # CS2018-65 
Volume (vol) vol.118 
Number (no) no.275 
Page pp.57-62 
#Pages 6 
Date of Issue 2018-10-25 (CS) 

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