A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks

Author:

Ullah ImtiazORCID,Mahmoud Qusay H.ORCID

Publisher

Springer International Publishing

Reference19 articles.

1. Hyunjae, K., Kang Dong, H., Ahn Gyung, M., Lee Jeong, D., Yoo Kyung, H., Park Huy, K.: IoT Network intrusion dataset, 27 Sept 2019 (2019). http://dx.doi.org/10.21227/q70p-q449 . Accessed 01 Jan 2020

2. Ullah, I., Mahmoud, Q.H.: IoT Network intrusion dataset (2020). https://sites.google.com/view/iot-network-intrusion-dataset . Accessed 18 Feb 2020

3. Press, G.: Internet Of Things by the numbers: what new surveys found (2018). https://www.forbes.com/sites/gilpress/2016/09/02/internet-of-things-by-the-numbers-what-new-surveys-found/#f439a4016a0e . Accessed 14 Jan 2020

4. Lippmann, R.P., et al.: Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation. In: Proceedings of - DARPA Information Survivability Conference and Exposition DISCEX 2000, vol. 2, pp. 12–26 (2000)

5. Haines, J.W., Rossey, L.M., Lippmann, R.P., Cunningham, R.K.: Extending the DARPA off-line intrusion detection evaluations. In: Proceedings of - DARPA Information Survivability Conference and Exposition II, DISCEX 2001, vol. 1, pp. 35–45 (2001)

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