Wednesday, 16 January 2013

DoubleGuard: Detecting Intrusions in Multitier Web Applications


NANO SCIENTIFIC RESEARCH CENTRE PVT.LTD.,  AMEERPET, HYD
WWW.NSRCNANO.COM, 09640648777, 09652926926



JAVA PROJECTS LIST--2013
JAVA 2013 IEEE PAPERS

DoubleGuard: Detecting Intrusions in Multitier Web Applications

Abstract
            Internet services and applications have become an inextricable part of daily life, enabling communication and the management of personal information from anywhere. To accommodate this increase in application and data complexity, web services have moved to a multitiered design wherein the webserver runs the application front-end logic and data are outsourced to a database or file server. In this paper, we present DoubleGuard, an IDS system that models the network behavior of user sessions across both the front-end webserver and the back-end database. By monitoring both web and subsequent database requests, we are able to ferret out attacks that an independent IDS would not be able to identify. Furthermore, we quantify the limitations of any multitier IDS in terms of training sessions and functionality coverage. We implemented DoubleGuard using an Apache webserver with MySQL and lightweight virtualization. We then collected and processed real-world traffic over a 15-day period of system deployment in both dynamic and static web applications. Finally, using DoubleGuard, we were able to expose a wide range of attacks with 100 percent accuracy while maintaining 0 percent false positives for static web services and 0.6 percent false positives for dynamic web services.
Existing System
            To protect multitiered web services, Intrusion detection systems have been widely used to detect known attacks by matching misused traffic patterns or signatures. A class of IDS that leverages machine learning can also detect unknown attacks by identifying abnormal network traffic that deviates from the so-called “normal” behavior previously profiled during the IDS training phase.
Proposed System
            In this paper, we present DoubleGuard, a system used to detect attacks in multitiered web services. Our approach can create normality models of isolated user sessions that include both the web front-end (HTTP) and back-end (File or SQL) network transactions. To achieve this, we employ a lightweight virtualization technique to assign each user’s web session to a dedicated container, an isolated virtual computing environment. We use the container ID to accurately associate the web request with the subsequent DB queries. Thus, DoubleGuard can build a causal mapping profile by taking both the webserver and DB traffic into account
Software Requirement Specification
Software Specification
Operating System       :           Windows XP
Technology                 :           JAVA
Database                     :           MY SQL
Web Server                 :           Apache Tomcat 7.0

Hardware Specification
Processor                     :           Pentium IV
RAM                           :           512 MB
Hard Disk                   :           80GB

Module Description
  • Admin
  • Purchase Department
  • Suppliers
  • Employee
  • Request Processing
  • Guard

Software Requirements
·         Coding Language       :           Java
·         Database                     :           MySQL
·         Operating System       :           Windows XP
Modules:
  • Get Access Token
  • Get Tweets
  • Calculate Entropy Measure
  • Find Source Type


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