1. Cisco Visual Networking Index: Forecast and Methodology, 2015–2020. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.html
2. Kolias, C., Kambourakis, G., Stavrou, A., Gritzalis, S.: Intrusion detection in 802.11 networks: empirical evaluation of threats and a public dataset. IEEE Commun. Surv. Tutorials 18(1), 184–208 (2015). IEEE
3. Kayacik, H., Zincir-Heywood, A.N., Heywood, M.I.: Selecting features for intrusion detection: a feature relevance analysis on KDD 99 intrusion detection datasets. In: Proceedings of the 3rd Annual Conference on Privacy, Security and Trust, PST (2005)
4. Alotaibi, B.: A majority voting technique for wireless intrusion detection systems, University of Bridgeport (2016)
5. Sommer, R., Paxson, V.: Outside the closed world: on using machine learning for network intrusion detection. In: 2010 IEEE Symposium on Security and Privacy (2010)