Intrusion Detection Based on Deep Learning | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 43, Volume 28, ICEEM2019-Special Issue, 2019, Page 369-373 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.76787 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Youssef F. Sallam1; Ahmed Sedik2; Rania Ghazy1; Nirmeen Abdelwahab3; HossamEl-din H. Ahmed1; Adel Saleeb1; Ghada M. El Banby4; Ashraf A. M. Khalaf5; Fathi E. Abd El-Samie6 | ||||
| 1Communications and Electronics Department Faculty of Electronic Engineering,Menoufia University: Menouf, Egypt | ||||
| 2The Robotics and Intelligent Machines Department Faculty of Aritificial Intelligence KafrElsheikh University: Kafr ElSheikh, Egypt | ||||
| 3Engineering and Computer Science Department Faculty of Electronic Engineering,Menoufia University: Menouf, Egypt | ||||
| 4Industrial Electronics and Control Department Faculty of Electronic Engineering,Menoufia University: Menouf, Egypt | ||||
| 5Electronics and Communications Department Faculty of Engineering Minia University: Minia, Egypt | ||||
| 6Communications and Electronics Department Faculty of Electronic Engineering, Menoufia University: Menouf, Egypt | ||||
| Abstract | ||||
| 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%. | ||||
| Keywords | ||||
| Intrusion Detection System (IDS); Deep Learning (DL) and Convolutional Neural Network (CNN) | ||||
| References | ||||
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