The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hybrid of anomaly-based and specification-based IDS for Internet of Things using unsupervised OPF based on MapReduce approach
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Citations
Cites
Data Mining for Internet of Things: A Survey
Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.103013.00206 · Cited by 620
A secure and quality-aware prototypical architecture for the Internet of Things
Sicari, S., Rizzardi, A., Miorandi, D., Cappiello, C., & Coen-Porisini, A. (2016) · Information Systems · doi:10.1016/j.is.2016.02.003 · Cited by 127
Cited by
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2988293 · Cited by 1,392
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
A comprehensive survey on network anomaly detection
Fernandes, G., Rodrigues, J. J. P. C., Carvalho, L. F., Al-Muhtadi, J. F., & Proença, M. L. (2019) · Telecommunication Systems · doi:10.1007/s11235-018-0475-8 · Cited by 382
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
Thamilarasu, G., & Chawla, S. (2019) · Sensors · doi:10.3390/s19091977 · Cited by 303
Detecting insider attacks in medical cyber–physical networks based on behavioral profiling
Meng, W., Li, W., Wang, Y., & Au, M. H. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2018.06.007 · Cited by 75
Metadata
- Authors
- Bostani, H., & Sheikhan, M.
- Venue
- Computer Communications
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 98
- Pages
- 52-71
- ISSN
- 0140-3664 (ISSN-L)
- OpenAlex
- W2559341072
- Cited by
- 252
- References
- 2
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
