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Paper Abstract and Keywords
Presentation 2016-11-04 10:35
Deep Learning for Ransomware Detection
Aragorn Tseng, YunChun Chen, YiHsiang Kao, Tsungnan Lin (NTU) IA2016-46
Abstract (in Japanese) (See Japanese page) 
(in English) Ransomware is malware that installs covertly on a victim's computer or smartphone, executes a cryptovirology attack and demands a ransom payment to restore it. Ransomwares have been the most serious threat in 2016, and this situation continues to worsen. Because of high reward for Ransomwares, more and more Ransomware families appear, and it make us more difficultly to detect them. There are different signatures or behaviors among different families (i.e. Locky ,Cerber,Cryptowall .....)or versions (i.e. CryptXXX2.0 ,CryptXXX3.0) of Ransomwares, it will be wonderful if there has a way that can detect potential Ransomware threats.
In this paper, we use deep-learning method to detect Ransomwares. At first we introduce how we label the data with different behaviors and what features we choose. And we present our model for detecting various Ransomwares and prevent them from encrypting victim's data. Experimental evaluation demonstrates that our deep-learning model can detect latest Ransomwares in high-speed network timely.
Keyword (in Japanese) (See Japanese page) 
(in English) Ransomware / deep-learning / cyber-attack / machine-learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 282, IA2016-46, pp. 87-92, Nov. 2016.
Paper # IA2016-46 
Date of Issue 2016-10-27 (IA) 
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 IA  
Conference Date 2016-11-03 - 2016-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Taipei (Taiwan) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IA2016 - Workshop on Internet Architecture and Applications 2016 
Paper Information
Registration To IA 
Conference Code 2016-11-IA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning for Ransomware Detection 
Sub Title (in English)  
Keyword(1) Ransomware  
Keyword(2) deep-learning  
Keyword(3) cyber-attack  
Keyword(4) machine-learning  
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1st Author's Name Aragorn Tseng  
1st Author's Affiliation National Taiwan University (NTU)
2nd Author's Name YunChun Chen  
2nd Author's Affiliation National Taiwan University (NTU)
3rd Author's Name YiHsiang Kao  
3rd Author's Affiliation National Taiwan University (NTU)
4th Author's Name Tsungnan Lin  
4th Author's Affiliation National Taiwan University (NTU)
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Speaker Author-1 
Date Time 2016-11-04 10:35:00 
Presentation Time 20 minutes 
Registration for IA 
Paper # IA2016-46 
Volume (vol) vol.116 
Number (no) no.282 
Page pp.87-92 
#Pages 6 
Date of Issue 2016-10-27 (IA) 

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