Web Based Intrusion Detection System
Anind Dixit, Anind Dixit
Intrusion detection, Text Mining, Machine learning, Classification
Web applications are growing rapidly and as the amount of web sites globally increases so do security threats. Complex applications often interact with third party services and databases to fetch information and often interactions require user input. Intruders are targeting web applications specifically and they are a huge security threat to organizations and a way to combat this is to have intrusion detection systems. Most common web attack methods are well researched and documented however due to time constraints developers often write applications fast and may not implement the best security practices. This report describes one way to implement a intrusion detection system that specifically detects web based attacks.
Article Details
Unique Paper ID: 144506

Publication Volume & Issue: Volume 3, Issue 12

Page(s): 32 - 35
Article Preview & Download

Recent Publication

Go To Issue

Call For Paper

Volume 5 Issue 7

Last Date 25 December 2018

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Contact Details

Telephone:704 821 9842/43
Email: editor@ijirt.org
Website: ijirt.org