Lightweight Classification of IoT Malware Based on Image Recognition

Jiawei Su, Vargas Danilo Vasconcellos, Sanjiva Prasad, Sgandurra Daniele, Yaokai Feng, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

33 引用 (Scopus)

抜粋

The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and controllers to connect to one another to share information and improve user experiences. IoT devices are micro-computers for domain-specific computations rather than traditional functionspecific embedded devices. This opens the possibility of seeing many kinds of existing attacks, traditionally targeted at the Internet, also directed at IoT devices. As shown by recent events, such as the Mirai and Brickerbot botnets, DDoS attacks have become very common in IoT environments as these lack basic security monitoring and protection mechanisms. In this paper, we propose a novel light-weight approach for detecting DDos malware in IoT environments. We extract the malware images (i.e., a one-channel gray-scale image converted from a malware binary) and utilize a light-weight convolutional neural network for classifying their families. The experimental results show that the proposed system can achieve 94:0% accuracy for the classification of goodware and DDoS malware, and 81:8% accuracy for the classification of goodware and two main malware families.

元の言語英語
ホスト出版物のタイトルProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
編集者Claudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
出版者IEEE Computer Society
ページ664-669
ページ数6
ISBN(電子版)9781538626665
DOI
出版物ステータス出版済み - 6 8 2018
イベント42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, 日本
継続期間: 7 23 20187 27 2018

出版物シリーズ

名前Proceedings - International Computer Software and Applications Conference
2
ISSN(印刷物)0730-3157

その他

その他42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
日本
Tokyo
期間7/23/187/27/18

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

フィンガープリント Lightweight Classification of IoT Malware Based on Image Recognition' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Su, J., Danilo Vasconcellos, V., Prasad, S., Daniele, S., Feng, Y., & Sakurai, K. (2018). Lightweight Classification of IoT Malware Based on Image Recognition. : C. Demartini, S. Reisman, L. Liu, E. Tovar, H. Takakura, J-J. Yang, C-H. Lung, S. I. Ahamed, K. Hasan, T. Conte, M. Nakamura, Z. Zhang, T. Akiyama, W. Claycomb, & S. Cimato (版), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 664-669). [8377943] (Proceedings - International Computer Software and Applications Conference; 巻数 2). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2018.10315