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  • 标题:Using Jquery with Snort to Visualize Intrusion
  • 本地全文:下载
  • 作者:Alaa El - Din Riad ; Ibrahim Elhenawy ; Ahmed Hassan
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要: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.
  • 关键词:Intrusion Detection System; Snort rule Visualization techniques; ; Php ; Jquerry
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