Data Visualization Technique Framework for Intrusion detection
Network attacks have become the fundamental threat to today\'s largely interconnected computer system. Intrusion detection system (IDS) is indispensable to defend the system in the face of increasing vulnerabilities.
While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction techniques, data analysis strategies, and specialized rendering algorithms, is still often a difficult process. To facilitate the creation of novel visualizations this paper presents a new framework that is designed with using data visualization technique for analysis and visualizes snort result data for user. The framework suggests PHP and CSS as data visualization technique and snort as intrusion detection system (IDS).
Keywords: Intrusion Detection System, Visualization techniques, Snort, PHP and CSS
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ABOUT THE AUTHORS
Alaa El - Din Riad
Head of Information Systems Dep, Faculty of Computer Science and Information Systems, Mansoura University, Egypt Mansoura,DK, 35516, Egypt
Ibrahim Elhenawy
Faculty of Computer Science and Information Systems, Zagazig University, Egypt Zagazig, Egypt
Ahmed Hassan
Faculty of Engineering , Mansoura University , Egypt Mansoura,,DK, 35513, Egypt
Nancy Awadallah
Faculty of Computer Science and Information Systems, Mansoura University, Egypt Mansoura,,DK, 35513, Egypt
Alaa El - Din Riad
Head of Information Systems Dep, Faculty of Computer Science and Information Systems, Mansoura University, Egypt Mansoura,DK, 35516, Egypt
Ibrahim Elhenawy
Faculty of Computer Science and Information Systems, Zagazig University, Egypt Zagazig, Egypt
Ahmed Hassan
Faculty of Engineering , Mansoura University , Egypt Mansoura,,DK, 35513, Egypt
Nancy Awadallah
Faculty of Computer Science and Information Systems, Mansoura University, Egypt Mansoura,,DK, 35513, Egypt