Paper Abstract and Keywords |
Presentation |
2018-06-26 11:40
A Study on Extraction Method of Characteristics of Malware Using Generative Adversalial Networks Keisuke Furumoto, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue (NICT) IA2018-13 ICSS2018-13 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
To classify malware families including many subspecies, several methods have been proposed for acquiring malware feature quantities from static/dynamic analysis results and combining them with machine learning techniques. In addition, Generative Adverarial Networks (GAN) has made it possible to learn unsupervised learning by making two neural networks compete, and is attracting particular attention in the field of image processing. In this paper, we propose a method of imaging malware based on binary data and extracting features of malware using GAN. The concept of the proposed method in this paper is to solve the problem of CNN accompanying the labeling of malware dataset and extract the feature quantity of malware by GAN without using the conventional dynamic/static analysis result. In this paper, we compare the proposed method with the conventional malware analysis method and show that the proposed method is a different approach from the conventional malware analysis method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Malware / Deep Learning / Generative Adversarial Networks / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 109, ICSS2018-13, pp. 77-82, June 2018. |
Paper # |
ICSS2018-13 |
Date of Issue |
2018-06-18 (IA, ICSS) |
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) |
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IA2018-13 ICSS2018-13 |
Conference Information |
Committee |
ICSS IA |
Conference Date |
2018-06-25 - 2018-06-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Ehime University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Internet Security, etc. |
Paper Information |
Registration To |
ICSS |
Conference Code |
2018-06-ICSS-IA |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Extraction Method of Characteristics of Malware Using Generative Adversalial Networks |
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Malware |
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Deep Learning |
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Generative Adversarial Networks |
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1st Author's Name |
Keisuke Furumoto |
1st Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
2nd Author's Name |
Ryoichi Isawa |
2nd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
3rd Author's Name |
Takeshi Takahashi |
3rd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
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Daisuke Inoue |
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National Institute of Information and Communications Technology (NICT) |
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Speaker |
Author-1 |
Date Time |
2018-06-26 11:40:00 |
Presentation Time |
25 minutes |
Registration for |
ICSS |
Paper # |
IA2018-13, ICSS2018-13 |
Volume (vol) |
vol.118 |
Number (no) |
no.108(IA), no.109(ICSS) |
Page |
pp.77-82 |
#Pages |
6 |
Date of Issue |
2018-06-18 (IA, ICSS) |
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