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| Paper Abstract and Keywords | ||
| Presentation | 2022-10-07 14:50 A Note on A Transformer Encoder-Based Malware Classification Using API Calls Chen Li (Kyutech), Junjun Zheng (Osaka Univ.)  R2022-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Malware is a major security threat to computer systems and significantly impacts system reliability. Recurrent neural network (RNN)-based methods have attracted much attention in API call-based malware detection in recent decades. However, traditional RNNs have the gradient vanishing problem when processing long API call sequences. This paper proposes a transformer encoder-based model, called TransEncoder, to solve the limitations of RNN. In particular, a novel transformer encoder-based classifier is proposed to classify malware by learning interaction features in sequences of API calls. Experimental results showed that the proposed architecture performed well and outperformed other deep learning-based baselines. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Computer security / malware / API call / classifier / recurrent neural network / transformer encoder / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 203, R2022-36, pp. 25-30, Oct. 2022. | |
| Paper # | R2022-36 | |
| Date of Issue | 2022-09-30 (R) | |
| 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) | |
| Download PDF | R2022-36 |
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| Conference Information | |
| Committee | R |
| Conference Date | 2022-10-07 - 2022-10-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reliability of Information Communication System, Reliability General |
| Paper Information | |
| Registration To | R |
| Conference Code | 2022-10-R |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Note on A Transformer Encoder-Based Malware Classification Using API Calls |
| Sub Title (in English) | |
| Keyword(1) | Computer security |
| Keyword(2) | malware |
| Keyword(3) | API call |
| Keyword(4) | classifier |
| Keyword(5) | recurrent neural network |
| Keyword(6) | transformer encoder |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Chen Li |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Junjun Zheng |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-10-07 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | R |
| Paper # | R2022-36 |
| Volume (vol) | vol.122 |
| Number (no) | no.203 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2022-09-30 (R) |
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