Reduction of SQL Injection & XSS Attacks Using IPAAS
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 5
Abstract
Network security is a main challenge now–a-days. There are different types of attacks in network. SQL Injection attacks are the most common attacks. Statistical survey says that most of the web sites which collaborate with the database are decumbent to SQL Injection or Cross Site scripting attacks. Detecting these attacks is known as anomaly detection. There is a lot anomoly detection techniques are widely used in a variety of applications, e.g., computer networks,security systems, etc. This paper describes and analyzes an approach to anomaly detection using proximity graphs and the PageRank algorithm. Most of the dynamic websites maintains databases; due to the design drawbacks of the database of a website there is a possibility of SQL injection attacks. The state-of-art web application input validation techniques fails to identify the proper SQL/XSS. The systems fail while processing HTTP parameter pollution attacks. Cross-site Scripting (XSS) has become prevalent type one of the most privacy vulnerabilities. Where the sake for the vulnerability primarily depends upon on the serverside, the normal exploitation is within the user’s web browser which was affected on the client-side by attacks. Therefore, an operator of a web application has evidence which was limited of XSS issues. IPAAS is not able to protect against all kind of XSS and SQL injection attacks. However, our experiments show that IPAAS is a simple and effective solution that can greatly improve the security of web applications. Our technique automatically and transparently applies input validates during the development phase of a web applications. Therefore, IPAAS helps developers that are unaware of web application security issues to write more secure applications.
Authors and Affiliations
Y. Rajalakshmi , Mrs D S Bhavani
Keywords
Related Articles
- EP ID EP141589
- DOI -
- Views 100
- Downloads 0
A Survey of Machine Learning Algorithm in Network Traffic Classification
Network Traffic Classification is an emerging research area and now a day the research is widely used in various activities such as intrusion detection system and for security purpose. Many of the protocols and proposed...
Survey on Weighted Frequent Pattern Mining
Data mining is the collection of techniques for the resourceful, automatic discovery of previously unknown, suitable, novel, helpful and understandable patterns in large databases. Frequent pattern mining has emerged as...
Software Platforms for Mobile Distributed Systems
As a result of the computing technology that becomes ever smaller and cheaper it is now possible to integrate it into everyday material objects. This advanced integration of technology allows the underlying computer to d...
Efficient Preprocessing and Patterns Identification Approach for Text Mining
Due to the rapid expansion of digital data , knowledge discovery and data mining have attracted significant amount of a ttention for turning such data into helpful information and knowledge. Text categorization is contin...
Advanced Vehicle Tracking System on Google Earth Using GPS and GSM
Vehicle navigation is one of the most important applications in the era of navigation which is mostly used by drivers. Therefore the efficiency of the maps given to the drivers has a great importance in the navigation sy...