Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware

Author:

NAKAO Koji1,YOSHIOKA Katsunari1,SASAKI Takayuki1,TANABE Rui1,HUANG Xuping1,TAKAHASHI Takeshi2,FUJITA Akira2,TAKEUCHI Jun'ichi3,MURATA Noboru4,SHIKATA Junji1,IWAMOTO Kazuki5,TAKADA Kazuki5,ISHIDA Yuki5,TAKEUCHI Masaru6,YANAI Naoto7

Affiliation:

1. Institute of Advanced Sciences, Yokohama National University

2. NICT

3. Kyushu University

4. Waseda University

5. SecureBrain Corporation

6. JAPAN DATACOM Co., Ltd.

7. Osaka University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference40 articles.

1. [1] S. Kato, R. Tanabe, K. Yoshioka, and T. Matsumoto, “Adaptive Observation of Emerging Cyber Attacks targeting Various IoT Devices,” 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp.143-151, 2021.

2. [2] “VirusTotal,” https://www.virustotal.com/.

3. [3] T. Inoue, S. Hara, H. Sakaki, K. Okada, E. Shioji, M. Akiyama, T. Sasaki, R. Tanabe, K. Yoshioka, K. Nakao, and T. Matsumoto, “Dynamic Analysis of Persistent IoT Malware Using Adaptive Sandbox,” ICSS2020-41, pp.90-95, 2021. (In Japanese)

4. [4] X. Huang, S. Mochizuki, and K. Yoshioka, “IoT Malware Infection Analysis for Network Identification and Uplink Speed Estimation,” SIG Technical Reports, vol.2021-CSEC-95(18), pp.1-6, 2021.

5. [5] X. Huang, S. Mochizuki, and K. Yoshioka, “Connection Type Identification and Uplink Speed Estimation of Malware Infected Hosts,” Journal of Information Processing, vol.30, pp.859-864, 2022. 10.2197/ipsjjip.30.859

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