期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：376-380
语种：English
出版社：Ayushmaan Technologies
摘要：Network forensics is the most significant technology to investigate different types of networking attack. Network forensics will help to capture, copy, transfer, analysis and investigation purpose. The most of the web application can easily attack by the hackers even when antivirus, firewall are exist in the system. This system used to identify different types of web attacks by using Kddcup 99 and NSL KDD dataset as a evidence. These digital evidence help in the course of the investigation phase to prepare the next steps. The evidences are just like a log files, that log files take as input and pre-process before training the neural network. Backpropogation algorithm is used for the training neural network and attack detection with the help of different dataset. Finally system generates forensic report, which will help for aiding an investigation.
