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IoTPOT: A Novel Honeypot for Revealing Current IoT Threats
Open accessAbstract
We analyze the increasing threats against IoT devices. We show that Telnet-based attacks that target IoT devices have rocketed since 2014. Based on this observation, we propose an IoT honeypot and sandbox, which attracts and analyzes Telnet-based attacks against various IoT devices running on different CPU architectures such as ARM, MIPS, and PPC. By analyzing the observation results of our honeypot and captured malware samples, we show that there are currently at least 5 distinct DDoS malware families targeting Telnet-enabled IoT devices and one of the families has quickly evolved to target more devices with as many as 9 different CPU architectures.
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Cited by
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
Nguyen, T. D., Marchal, S., Miettinen, M., Fereidooni, H., Asokan, N., & Sadeghi, A.-R. (2019) · 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2019.00080 · Cited by 663
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhang, Z., Hamadi, H. A., Damiani, E., Yeun, C. Y., & Taher, F. (2022) · IEEE Access · doi:10.1109/access.2022.3204051 · Cited by 450
Metadata
- Authors
- Pa, Y. M. P., Suzuki, S., Yoshioka, K., Matsumoto, T., Kasama, T., & Rossow, C.
- Venue
- Journal of Information Processing
- Published
- 2016
- Volume
- 24
- Issue
- 3
- Pages
- 522-533
- ISSN
- 1882-6652 (ISSN-L)
- OpenAlex
- W2360903897
- Cited by
- 227
- References
- 0
- FWCI
- 18.63
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Pa, Y. M. P., Suzuki, S., Yoshioka, K., Matsumoto, T., Kasama, T., & Rossow, C. (2016). IoTPOT: A Novel Honeypot for Revealing Current IoT Threats. Journal of Information Processing. https://doi.org/10.2197/ipsjjip.24.522
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