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Paper Abstract and Keywords
Presentation 2017-11-20 15:15
Preliminary Evaluation on the Program Classification at the Processor Level using Machine Learning
Ryotaro Kobayashi (Kogakuin Univ.), Hayate Takase, Genki Otani, Ren Ohmura (Toyohashi Univ. of Tech.), Masahiko Kato (Univ. of Nagasaki) ICSS2017-39
Abstract (in Japanese) (See Japanese page) 
(in English) As use of IoT devices becomes widespread, a lot of things are connected to the Internet, and the convenience of everyday life has been improved.
However, due to the various attacks intended for IoT devices, including the large-scale DDoS attacks using IoT devices as a springboard, security of IoT devices is regarded important.
In most IoT devices, it is not easy to introduce anti-virus software and perform frequent pattern file updates because of the limited hardware resources.
Therefore, we propose a malware detection mechanism utilizing information extracted from a processor to suppress the consumption of hardware resource.
We aim to detect malware by machine learning using information processed in the processor such as assembly code and register value as a feature quantity.
In this paper, we used software simulator to perform preliminary evaluation of a program classification by our mechanism.
The evaluation results show that the programs can be classified with high accuracy by the processor information.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / machine learning / malware detection / behavior / processor information / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 316, ICSS2017-39, pp. 5-10, Nov. 2017.
Paper # ICSS2017-39 
Date of Issue 2017-11-13 (ICSS) 
ISSN Print edition: ISSN 0913-5685    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)
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Conference Information
Committee ICSS  
Conference Date 2017-11-20 - 2017-11-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Communication System Security, etc. 
Paper Information
Registration To ICSS 
Conference Code 2017-11-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Preliminary Evaluation on the Program Classification at the Processor Level using Machine Learning 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) machine learning  
Keyword(3) malware detection  
Keyword(4) behavior  
Keyword(5) processor information  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryotaro Kobayashi  
1st Author's Affiliation Kogakuin University (Kogakuin Univ.)
2nd Author's Name Hayate Takase  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
3rd Author's Name Genki Otani  
3rd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
4th Author's Name Ren Ohmura  
4th Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
5th Author's Name Masahiko Kato  
5th Author's Affiliation University of Nagasaki (Univ. of Nagasaki)
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Speaker Author-2 
Date Time 2017-11-20 15:15:00 
Presentation Time 25 minutes 
Registration for ICSS 
Paper # ICSS2017-39 
Volume (vol) vol.117 
Number (no) no.316 
Page pp.5-10 
#Pages 6 
Date of Issue 2017-11-13 (ICSS) 

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