The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
A Novel Hierarchical Intrusion Detection System Based on Decision Tree and Rules-Based Models
Open accessAbstract
This paper proposes a novel intrusion detection system (IDS) that combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip algorithm and Forest PA. Specifically, the first and second method take as inputs features of the data set, and classify the network traffic as Attack/Benign. The third classifier uses features of the initial data set in addition to the outputs of the first and the second classifier as inputs. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset, attest their superiority in terms of accuracy, detection rate, false alarm rate and time overhead as compared to state of the art existing schemes.
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Cites
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Cited by
Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
Liu, H., & Lang, B. (2019) · Applied Sciences · doi:10.3390/app9204396 · Cited by 1,133
An Explainable Machine Learning Framework for Intrusion Detection Systems
Wang, M., Zheng, K., Yang, Y., & Wang, X. (2020) · IEEE Access · doi:10.1109/access.2020.2988359 · Cited by 355
Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
Shaukat, K., Luo, S., Varadharajan, V., Hameed, I., Chen, S., Liu, D., & Li, J. (2020) · Energies · doi:10.3390/en13102509 · Cited by 303
MQTTset, a New Dataset for Machine Learning Techniques on MQTT
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Metadata
- Authors
- Ahmim, A., Maglaras, L., Ferrag, M. A., Derdour, M., & Janicke, H.
- Venue
- 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)
- Publisher
- IEEE
- Published
- 2019-05
- Pages
- 228-233
- OpenAlex
- W2905872522
- Cited by
- 266
- References
- 23
- FWCI
- 30.04
- Type
- conference paper
- Language
- en
- Open access
- green
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- Ahmim, A., Maglaras, L., Ferrag, M. A., Derdour, M., & Janicke, H. (2019). A Novel Hierarchical Intrusion Detection System Based on Decision Tree and Rules-Based Models. 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS). https://doi.org/10.1109/dcoss.2019.00059
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