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Kalis — A System for Knowledge-Driven Adaptable Intrusion Detection for the Internet of Things
Abstract
In this paper, we introduce Kalis, a self-adapting, knowledge-driven expert Intrusion Detection System able to detect attacks in real time across a wide range of IoT systems. Kalis does not require changes to existing IoT software, can monitor a wide variety of protocols, has no performance impact on applications on IoT devices, and enables collaborative security scenarios. Kalis is the first comprehensive approach to intrusion detection for IoT that does not target individual protocols or applications, and adapts the detection strategy to the specific network features. Extensive evaluation shows that Kalis is effective and efficient in detecting attacks to IoT systems.
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Cites
DTLS based security and two-way authentication for the Internet of Things
Kothmayr, T., Schmitt, C., Hu, W., Brünig, M., & Carle, G. (2013) · Ad Hoc Networks · doi:10.1016/j.adhoc.2013.05.003 · Cited by 391
Cited by
Network Intrusion Detection for IoT Security Based on Learning Techniques
Chaabouni, N., Mosbah, M., Zemmari, A., Sauvignac, C., & Faruki, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2896380 · Cited by 940
Securing the Internet of Things: Challenges, threats and solutions
Radoglou Grammatikis, P. I., Sarigiannidis, P. G., & Moscholios, I. D. (2019) · Internet of Things · doi:10.1016/j.iot.2018.11.003 · Cited by 308
A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
Moustafa, N., Adi, E., Turnbull, B., & Hu, J. (2018) · IEEE Access · doi:10.1109/access.2018.2844794 · Cited by 153
Metadata
- Authors
- Midi, D., Rullo, A., Mudgerikar, A., & Bertino, E.
- Venue
- 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
- Publisher
- IEEE
- Published
- 2017-06
- Pages
- 656-666
- OpenAlex
- W2736183220
- Cited by
- 159
- References
- 1
- FWCI
- 16.44
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Kalis — A System for Knowledge-Driven Adaptable Intrusion Detection for the Internet of Things. https://app.cochat.ai/papers/10.1109/icdcs.2017.104
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- Midi, D., Rullo, A., Mudgerikar, A., & Bertino, E. (2017). Kalis — A System for Knowledge-Driven Adaptable Intrusion Detection for the Internet of Things. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). https://doi.org/10.1109/icdcs.2017.104
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
