Tuesday 16th of April 2024
 

Using Jquery with Snort to Visualize Intrusion


Alaa El - Din Riad, Ibrahim Elhenawy, Ahmed Hassan and Nancy Awadallah

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

Download Full-Text


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


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »