The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks
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Cites
A detailed analysis of the KDD CUP 99 data set
Tavallaee, M., Bagheri, E., Lu, W., & Ghorbani, A. A. (2009) · 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications · doi:10.1109/cisda.2009.5356528 · Cited by 5,396
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
Sharafaldin, I., Habibi Lashkari, A., & Ghorbani, A. A. (2018) · Proceedings of the 4th International Conference on Information Systems Security and Privacy · doi:10.5220/0006639801080116 · Cited by 5,318
Moustafa, N., & Slay, J. (2015) · 2015 Military Communications and Information Systems Conference (MilCIS) · doi:10.1109/milcis.2015.7348942 · Cited by 4,033
Koroniotis, N., Moustafa, N., Sitnikova, E., & Turnbull, B. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.05.041 · Cited by 1,983
N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders
Meidan, Y., Bohadana, M., Mathov, Y., Mirsky, Y., Shabtai, A., Breitenbacher, D., & Elovici, Y. (2018) · IEEE Pervasive Computing · doi:10.1109/mprv.2018.03367731 · Cited by 1,483
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
Shiravi, A., Shiravi, H., Tavallaee, M., & Ghorbani, A. A. (2012) · Computers & Security · doi:10.1016/j.cose.2011.12.012 · Cited by 1,345
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
Sharafaldin, I., Lashkari, A. H., Hakak, S., & Ghorbani, A. A. (2019) · 2019 International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2019.8888419 · Cited by 1,275
A framework for constructing features and models for intrusion detection systems
Lee, W., & Stolfo, S. J. (2000) · ACM Transactions on Information and System Security · doi:10.1145/382912.382914 · Cited by 974
Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation
Lippmann, R. P., Fried, D. J., Graf, I., Haines, J. W., Kendall, K. R., McClung, D., Weber, D., Webster, S. E., Wyschogrod, D., Cunningham, R. K., et al. (2002) · Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00 · doi:10.1109/discex.2000.821506 · Cited by 917
Characterization of Tor Traffic using Time based Features
Habibi Lashkari, A., Draper Gil, G., Mamun, M. S. I., & Ghorbani, A. A. (2017) · Proceedings of the 3rd International Conference on Information Systems Security and Privacy · doi:10.5220/0006105602530262 · Cited by 799
Cited by
Design and Development of RNN Anomaly Detection Model for IoT Networks
Ullah, I., & Mahmoud, Q. H. (2022) · IEEE Access · doi:10.1109/access.2022.3176317 · Cited by 270
Self-citationLe, T.-T.-H., Kim, H., Kang, H., & Kim, H. (2022) · Sensors · doi:10.3390/s22031154 · Cited by 208
A Systematic Review of Data-Driven Attack Detection Trends in IoT
Haque, S., El-Moussa, F., Komninos, N., & Muttukrishnan, R. (2023) · Sensors · doi:10.3390/s23167191 · Cited by 38
Detecting malicious IoT network communication through Graph Neural Networks in real-world conditions
Carletti, V., Foggia, P., Rosa, F., & Vento, M. (2025) · Pattern Recognition Letters · doi:10.1016/j.patrec.2025.01.010 · Cited by 12
Metadata
- Authors
- Ullah, I., & Mahmoud, Q. H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 508-520
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3022604549
- Cited by
- 319
- References
- 13
- FWCI
- 28.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks. https://app.cochat.ai/papers/10.1007/978-3-030-47358-7_52
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- Ullah, I., & Mahmoud, Q. H. (2020). A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-47358-7_52
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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.
