Using Jquery with Snort to Visualize Intrusion
The explosive growth of malicious activities on worldwide communication networks, such as the Internet, has highlighted the need for efficient intrusion detection
systems. The efficiency of traditional intrusion detection systems is limited by their inability to effectively relay relevant information due to their lack of interactive / immersive technologies. Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human user. Authors have found that the representations can be quite effective at conveying the needed information and resolving the relationships extremely rapidly. To facilitate the creation of novel visualizations this paper presents a new framework that is designed with using data visualization technique by using Jquery Php for analysis and visualizes snort result data for user.
Keywords: Intrusion Detection System, Snort rule Visualization techniques, , Php , Jquerry
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ABOUT THE AUTHORS
Alaa El - Din Riad
Vice Dean for Students Affairs
Ibrahim Elhenawy
Faculty of Computer Science and Information Systems, Zagazig University, Egypt
Ahmed Hassan
Faculty of Engineering , Mansoura University , Egypt
Nancy Awadallah
Researcher Assistant, Master in E-commerce Security 2008, Faculty of computer science & Information System - Mansoura University - Egypt
Alaa El - Din Riad
Vice Dean for Students Affairs
Ibrahim Elhenawy
Faculty of Computer Science and Information Systems, Zagazig University, Egypt
Ahmed Hassan
Faculty of Engineering , Mansoura University , Egypt
Nancy Awadallah
Researcher Assistant, Master in E-commerce Security 2008, Faculty of computer science & Information System - Mansoura University - Egypt