Intrusion Detection Based on Deep Learning
Youssef F. Sallam, Ahmed Sedik, Rania A. Ghazy, Nirmeen Abdelwahab, HossamEl-din H. Ahmed, Adel A. Saleeb, Ghada M. El‐Banby, Ashraf A. M. Khalaf, Fathi E. Abd El‐Samie · Menoufia Journal of Electronic Engineering Research · 2019
Information and Communication Technology (ICT) plays an important role in our life. ICT is engaged with the business and individual patterns of human life. The ICT security is one of the normal ICT fields, which attracts researchers’ attention. The objective of security is to discover attacks represented in control and data planes. These attacks include Denial of Service (DoS), and probing attacks. Intrusion Detection System (IDS) is one of the best solutions for observing, and distinguishing these attacks. In this paper, an IDS dependent on Deep Learning (DL) is proposed. This system achieves an accuracy detection level of 100%.