Design and implementation of a sandbox for facilitating and automating IoT malware analysis with techniques to elicit malicious behavior: case studies of functionalities for dissecting IoT malware-Reference-Cited by-同舟云学术

Design and implementation of a sandbox for facilitating and automating IoT malware analysis with techniques to elicit malicious behavior: case studies of functionalities for dissecting IoT malware

Published:2023-05-02 Issue:2 Volume:19 Page:149-163
ISSN:2263-8733
Container-title:Journal of Computer Virology and Hacking Techniques
language:en
Short-container-title:J Comput Virol Hack Tech

Author:

Yonamine Shun^ORCID,Taenaka Yuzo,Kadobayashi Youki,Miyamoto Daisuke

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s11416-023-00478-x.pdf

Reference26 articles.

1. Cozzi, E., Graziano, M., Fratantonio, Y., Balzarotti, D.: Understanding linux malware. In: 2018 IEEE Symposium on Security and Privacy (SP), pp. 161–175 (2018). IEEE

2. Cozzi, E., Vervier, P.-A., Dell’Amico, M., Shen, Y., Bilge, L., Balzarotti, D.: The tangled genealogy of iot malware. In: Annual Computer Security Applications Conference, pp. 1–16 (2020)

3. Carrillo-Mondéjar, J., Martínez, J., Suarez-Tangil, G.: Characterizing linux-based malware: Findings and recent trends. Futur. Gener. Comput. Syst. 110, 267–281 (2020)

4. Cuckoo: Automated Malware Analysis. https://www.cuckoosandbox.org/ (2013)

5. Willems, C., Holz, T., Freiling, F.: Toward automated dynamic malware analysis using cwsandbox. IEEE Secur. Privacy 5(2), 32–39 (2007)

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